Emma Niméus-malmström, Morten Krogh, Per Malmström, Carina Str, Irma Fredriksson, Per Karlsson, ...
Research article
A Rate Equation Approach to Elucidate the Kinetics and Robustness of the TGF-b Pathway (2009)
Pontus Melke, Henrik Jönsson, Evangelia Pardali, Carsten Peterson
ABSTRACT We present a rate equation model for the TGF-b pathway in endothelial cells together with novel measurements. This pathway plays a prominent role in inter- and intracellular communication...
Chickarmane, Vijay, Enver, Tariq, Peterson, Carsten
Hematopoietic stem cell lineage choices are decided by genetic networks that are turned ON/OFF in a switch-like manner. However, prior to lineage commitment, genes are primed at low expression...
Colecchia, Federico, Kottwitz, Denise, Wagner, Mandy, Pfenninger, Cosima V., Thiel, Gerald, Tamm, Ingo, ...
The prediction of transcription factor binding sites in genomic sequences is in principle very useful to identify upstream regulatory factors. However, when applying this concept to genomes of...
Transcriptional Dynamics of the Embryonic Stem Cell Switch (2008)
Vijay Chickarmane, Carl Troein, Ulrike A. Nuber, Herbert M. Sauro, Carsten Peterson
Recent ChIP experiments of human and mouse embryonic stem cells have elucidated the architecture of the transcriptional regulatory circuitry responsible for cell determination, which involves the...
Is Transcriptional Regulation of Metabolic Pathways an Optimal Strategy for Fitness? (2008)
Carl Troein, Dag Ahrén, Morten Krogh, Carsten Peterson
Background. Transcriptional regulation of the genes in metabolic pathways is a highly successful strategy, which is virtually universal in microorganisms. The lac operon of E. coli is but one example...
Chickarmane, Vijay, Peterson, Carsten
Background: Recent studies have associated the transcription factors, Oct4, Sox2 and Nanog as parts of a self-regulating network which is responsible for maintaining embryonic stem cell properties:...
Titrating PolyelectrolytessVariational Calculations and Monte Carlo Simulations (2008)
Bo Jonsson, Magnus Ullner, Carsten Peterson, Ola Sommelius, Bo Soderberg
in a discrete representation. In the variational treatment, the Coulomb potentials are emulated by harmonic repulsive forces between all monomers; the force constants are used as variational...
Carsten Peterson, Robustness R
www.thep.lu.se/complex Revisit Boolean genetic network ensembles: ● Rule distributions and architectures ● Comparisons with yeast transcriptional network data Stability...
Lao H. Saal, Mervi Laakso, Cecilia Hegardt, Patrik Ede N, ...
Abstract Purpose: Endocrine therapies, such as tamoxifen, are commonly given to most patients with estrogen receptor (ERa) ^ positive breast carcinoma but are not indicated for persons with...
Local Routing Algorithms Based on Potts Neural Networks (2008)
Jari Häkkinen, Martin Lagerholm, Carsten Peterson, Bo Söderberg
Abstract—A feedback neural approach to static communication routing in asymmetric networks is presented, where a mean field formulation of the Bellman–Ford method for the single unicast problem...
Niméus-Malmström, Emma, Krogh, Morten, Malmström, Per, Strand, Carina, Fredriksson, Irma, Karlsson, Per, ...
Abstract Introduction Some patients with breast cancer develop local recurrence after breast-conservation surgery despite postoperative radiotherapy, whereas others remain free of local recurrence...
Patrik Edén, Markus Ringnér, Bo Baldetorp, Gunilla Chebil, A Ke Borg, ...
continuous values of prognostic markers in breast
LU TP 93-4 Finding the Embedding Dimension and Variable Dependences in Time Series (2007)
Submitted to Neural Computation
Combinatorial Optimization with Feedback Artificial Neural Networks (2007)
A brief review is given for using feedback artificial neural networks (ANN) to obtain good approximate solutions to combinatorial optimization problems. The key element is the mean field...
A Variational Approach for Minimizing Lennard-Jones Energies (2007)
Carsten Peterson, Ola Sommelius, Bo Söderberg
: A variational method for computing conformational properties of molecules with LennardJones potentials for the monomer-monomer interactions is presented. The approach is tailored to deal with...
A Confident Decision Support System for Interpreting Electrocardiograms (2007)
Holger Holst Mb, Mattias Ohlsson, Carsten Peterson, Lars Edenbrandt, Holger Holst
as high as 0.995 (0.982-1.000), i.e. almost all of these ECGs were correctly classified. Neural networks can be trained to diagnose myocardial infarction and to signal when the advice is given with...
Rotor Neurons - Basic Formalism and Dynamics (2007)
Lars Gislén, Carsten Peterson, Bo Söderberg
: Rotor neurons are introduced to encode states living on the surface of a sphere in D dimensions. Such rotors can be regarded as continuous generalizations of binary (Ising) neurons. The...
Local Routing Algorithms Based on Potts Neural Networks (2007)
Jari Akkinen, Martin Lagerholm, Carsten Peterson, Bo Soderberg
: A feedback neural approach to static communication routing in asymmetric networks is presented, where a mean field formulation of the Bellman-Ford method for the single unicast problem is used as a...
Complex Scheduling with Potts Neural Networks (2007)
Lars Gislén, Carsten Peterson, Bo Söderberg
: In a recent paper (Gisl'en, Peterson and S¨oderberg 1989) a convenient encoding and an efficient mean field algorithm for solving scheduling problems using a Potts neural network was...
Folding and Design in Coarse-Grained Protein Models (2007)
Introduction Proteins are heterogenuous chain molecules composed of sequences of amino acids. The protein folding problem amounts to given a sequence of amino acids predict the protein 3D structure....
An Efficient Mean Field Approach to the Set Covering Problem (2007)
Mattias Ohlsson, Carsten Peterson, Bo Söderberg
A mean field feedback artificial neural network algorithm is developed and explored for the set covering problem. A convenient encoding of the inequality constraints is achieved by means of a...
Mattias Ohlsson, Carsten Peterson, Hong Pi, Thorsteinn Rögnvaldsson, Bo Söderberg, Bo S��oderberg
: We devise a feed-forward Artificial Neural Network (ANN) procedure for predicting utility loads and present the resulting predictions for two test problems given by "The Great Energy Predictor...
Using Neural Networks to Identify Jets (2007)
Leif Lönnblad, Carsten Peterson, Thorsteinn Rögnvaldsson
: A neural network method for identifying the ancestor of a hadron jet is presented. The idea is to find an efficient mapping between certain observed hadronic kinematical variables and the...
Self-organizing Networks for Extracting Jet Features (2007)
Leif Lönnblad, Carsten Peterson, Hong Pi, Thorsteinn Rögnvaldsson
: Self-organizing neural networks are briefly reviewed and compared with supervised learning algorithms like back-propagation. The power of self-organization networks is in their capability of...
Ashley Publications Ltd www.ashley-pub.com TECHNOLOGY REPORT (2007)
Markus Ringnér, Carsten Peterson, Javed Khan, Cancer Genetics Branch, National Human Genome, Grovemont Circle
Analyzing array data using supervised methods
Sofia K Gruvberger, Markus Ringnér, Patrik Edén, Åke Borg, Mårten Fernö, Carsten Peterson, ...
Breast Cancer Research Vol 5 No 1 Gruvberger et al.
Gruvberger Saal, Sofia K, Bendahl, Par-Ola, Saal, Lao H, Laakso, Mervi, Hegardt, Cecilia, Edén, Patrik, ...
Abstract is not available
Transcriptional Dynamics of the Embryonic Stem Cell Switch (2006)
Vijay Chickarmane, Carl Troein, Ulrike A. Nuber, Herbert M. Sauro, Carsten Peterson
Recent ChIP experiments of human and mouse embryonic stem cells have elucidated the architecture of the transcriptional regulatory circuitry responsible for cell determination, which involves the...
Transcriptional Dynamics of the Embryonic Stem Cell Switch (2006)
Vijay Chickarmane, Carl Troein, Ulrike Nuber, Herbert M Sauro, Carsten Peterson
Recent ChIP experiments of human and mouse embryonic stem cells have elucidated the architecture of the transcriptional regulatory circuitry responsible for cell determination, which involves the...
Niméus-Malmstrom, Emma, Ritz, Cecilia, Edén, Patrik, Johnsson, Anders, Ohlsson, Mattias, Strand, Carina, ...
Abstract is not available
Signal transduction pathway profiling of individual tumor samples (2005)
Breslin, Thomas, Krogh, Morten, Peterson, Carsten, Troein, Carl
Abstract Background Signal transduction pathways convey information from the outside of the cell to transcription factors, which in turn regulate gene expression. Our objective is to analyze tumor...
Thomas Breslin, Morten Krogh, Carsten Peterson, Carl Troein, Carl Troein
Background: Signal transduction pathways convey information from the outside of the cell to transcription factors, which in turn regulate gene expression. Our objective is to analyze tumor gene...
Genetic networks with canalyzing Boolean rules are always stable (2004)
Kauffman, Stuart, Peterson, Carsten, Samuelsson, Björn, Troein, Carl
We determine stability and attractor properties of random Boolean genetic network models with canalyzing rules for a variety of architectures. For all power law, exponential, and flat in-degree...
Random Boolean Network Models and the Yeast Transcriptional Network (2004)
Kauffman, Stuart, Peterson, Carsten, Samuelsson, Björn, Troein, Carl
The recently measured yeast transcriptional network is analyzed in terms of simplified Boolean network models, with the aim of determining feasible rule structures, given the requirement of stable...
Gruvberger-Saal, Sofia K, Edén, Patrik, Ringnér, Markus, Baldetorp, Bo, Chebil, Gunilla, Borg, Ake, ...
Abstract is not available
Edén, Patrik, Ritz, Cecilia, Rose, Carsten, Fernö, Mårten, Peterson, Carsten
Abstract is not available
Predicting the future of breast cancer. (2003)
Borg, Ake, Fernö, Mårten, Peterson, Carsten
Abstract not available.
Tsapogas, Panagiotis, Breslin, Thomas, Bilke, Sven, Lagergren, Anna, Månsson, Robert, Liberg, David, ...
Abstract is not available
Expression profiling to predict outcome in breast cancer: the influence of sample selection (2003)
Gruvberger, Sofia K, Ringnér, Markus, Edén, Patrik, Borg, Åke, Fernö, Mårten, Peterson, Carsten, ...
Gene expression profiling of tumors using DNA microarrays is a promising method for predicting prognosis and treatment response in cancer patients. It was recently reported that expression profiles...
Microarray-Based Cancer Diagnosis with Artificial Neural Networks (2003)
Markus Ringnér, Carsten Peterson
In recent years, the advent of experimental methods to probe gene expression profiles of cancer on a genome-wide scale has led to widespread use of supervised machine learning algorithms to...
Panagiotis Tsapogas, Thomas Breslin, Sven Bilke, Anna Lagergren, Robert Månsson, David Liberg, ...
The development of a mature B lymphocyte from a bone marrow stem cell is a highly ordered process involving stages with defined features and gene expression patterns. To obtain a deeper understanding...
Expression profiling to predict outcome in breast cancer: the influence of sample selection (2002)
Gruvberger, Sofia K, Ringnér, Markus, Edén, Patrik, Borg, Åke, Fernö, Mårten, Peterson, Carsten, ...
Abstract Gene expression profiling of tumors using DNA microarrays is a promising method for predicting prognosis and treatment response in cancer patients. It was recently reported that expression...
Saal, Lao H, Troein, Carl, Vallon-Christersson, Johan, Gruvberger, Sofia, Borg, Åke, Peterson, Carsten
Abstract The microarray technique requires the organization and analysis of vast amounts of data. These data include information about the samples hybridized, the hybridization images and their...
Lao H Saal, Carl Troein, Johan Vallon-christersson, Sofia Gruvberger, Åke Borg, Carsten Peterson
(Print ISSN 1465-6906; Online ISSN 1465-6914) The microarray technique requires the organization and analysis of vast amounts of data. These data include information about the samples hybridized, the...
Analyzing Tumor Gene Expression Profiles (2002)
Carsten Peterson, Markus Ringnér
A brief introduction to high throughput technologies for measuring and analyzing gene expression is given. Various supervised and unsupervised data mining methods for analyzing the produced...
Sofia Gruvberger, Markus Ringnér, Yidong Chen, Sujatha Panavally, Lao H. Saal, Åke Borg, ...
To investigate the phenotype associated with estrogen receptor � (ER) expression in breast carcinoma, gene expression profiles of 58 nodenegative breast carcinomas discordant for ER status were...
Topological properties of citation and metabolic networks (2001)
Topological properties of "scale-free " networks are investigated by determining their spectral dimensions d S, which re ect a diusion process in the corresponding graphs. Data...
Clustering ECG complexes using Hermite functions and self-organizing maps (2000)
Martin Lagerholm, Carsten Peterson, Guido Braccini, Lars Edenbr, Leif Sörnmo
Abstract—An integrated method for clustering of QRS complexes is presented which includes basis function representation and self-organizing neural networks (NN’s). Each QRS complex is decomposed...
A Novel Approach to Structure Alignment (2000)
Mattias Ohlsson, Carsten Peterson, Markus Ringnér, Richard Blankenbecler
Motivation: Aligning protein structures is a highly relevant task. It enables the study of functional and ancestry relationships between proteins and is very important for homology and threading...
A Novel Approach to Structure Alignment (2000)
Mattias Ohlsson, Carsten Peterson, Markus Ringnér, Richard Blankenbecler
Motivation: Aligning protein structures is a highly relevant task. It enables the study of functional and ancestry relationships between proteins and is very important for homology and threading...
An Efficient Mean Field Approach to the Set Covering Problem (1999)
Ohlsson, Mattias, Peterson, Carsten, Söderberg, Bo
A mean field feedback artificial neural network algorithm is developed and explored for the set covering problem. A convenient encoding of the inequality constraints is achieved by means of a...
Abstract Theory and Methodology An e cient mean ®eld approach to the set covering problem (1999)
Mattias Ohlsson, Carsten Peterson, Bo Soderberg
A mean ®eld feedback arti®cial neural network �ANN) algorithm is developed and explored for the set covering problem. A convenient encoding of the inequality constraints is achieved by means of a...
An Efficient Mean Field Approach to the Set Covering Problem (1999)
Mattias Ohlsson, Carsten Peterson, Bo Söderberg
A mean field feedback artificial neural network algorithm is developed and explored for the set covering problem. A convenient encoding of the inequality constraints is achieved by means of a...
Design of Sequences with Good Folding Properties in Coarse-Grained Protein Models (1998)
Irbäck, Anders, Peterson, Carsten, Potthast, Frank, Sandelin, Erik
Background: Designing amino acid sequences that are stable in a given target structure amounts to maximizing a conditional probability. A straightforward approach to accomplish this is a nested Monte...
Abstract Theory and Methodology Airline crew scheduling using Potts mean ®eld techniques (1998)
Martin Lagerholm, Carsten Peterson
A novel method is presented and explored within the framework of Potts neural networks for solving optimization problems with a non-trivial topology, with the airline crew scheduling problem as a...
Monte Carlo Procedure for Protein Design (1998)
Anders Irbäck, Carsten Peterson, Frank Potthast, Erik Sandelin
: A new method for sequence optimization in protein models is presented. The approach, which has inherited its basic philosophy from recent work by Deutsch and Kurosky [Phys. Rev. Lett. 76, 323...
Clustering ECG Complexes Using Hermite Functions and Self-Organizing Maps (1998)
Martin Lagerholm, Carsten Peterson, Guido Braccini, Lars Edenbr, Leif Sornmo
: An integrated method for identifying and classifying ECG complexes in the MIT-BIH Arrhythmia Database is presented. The QRS complexes are extracted and the RR intervals are calculated in an...
A Potts Neuron Approach to Communication Routing (1998)
Jari Häkkinen, Martin Lagerholm, Carsten Peterson, Bo Söderberg
: A feedback neural network approach to communication routing problems is developed, with emphasis on Multiple Shortest Path problems, with several requests for transmissions between distinct...
Design of Sequences with Good Folding Properties in Coarse-Grained Protein Models (1998)
Anders Irbäck, Carsten Peterson, Frank Potthast, Erik Sandelin
this paper we develop and explore an alternative MC methodology, Multisequence (MS) design, where the basic strategy is to create an enlarged configuration space; the sequence oe becomes a dynamical...
Carsten Peterson, Bo Söderberg
Introduction Many combinatorial optimization problems require a more or less exhaustive search to achieve exact solutions, with the computational effort growing exponentially or worse with system...
Airline Crew Scheduling Using Potts Mean Field Techniques (1998)
Martin Lagerholm, Carsten Peterson, Bo Söderberg
: A novel method is presented and explored within the framework of Potts neural networks for solving optimization problems with a non-trivial topology, with the airline crew scheduling problem as a...
Local Routing Algorithms Based on Potts Neural Networks (1998)
Jari Häkkinen, Martin Lagerholm, Carsten Peterson, Bo Söderberg
A feedback neural approach to static communication routing in asymmetric networks is presented, where a mean field formulation of the Bellman-Ford method for the single unicast problem is used as a...
Carsten Peterson, Bo Söderberg
Many combinatorial optimization problems require a more or less exhaustive search to achieve exact solutions, with a computational e#ort growing exponentially or worse with system size. Hence, for...
Monte Carlo Procedure for Protein Design (1997)
Irbäck, Anders, Peterson, Carsten, Potthast, Frank, Sandelin, Erik
A new method for sequence optimization in protein models is presented. The approach, which has inherited its basic philosophy from recent work by Deutsch and Kurosky [Phys. Rev. Lett. 76, 323 (1996)]...
Dan Lindahl, John Palmer, Mattias Ohlsson, Carsten Peterson, Anders Lundin, Lars Edenbrandt
The purpose of this study was to develop a computer-based method for automatic detection and localization of coronary artery disease (CAD) in myocardial bull's-eye scintigrams. Methods: A...
Evidence for Non-Random Hydrophobicity Structures in Protein Chains (1997)
Anders Irbäck, Carsten Peterson, Frank Potthast
: The question of whether proteins originate from random sequences of amino acids is addressed. A statistical analysis is performed in terms of blocked and random walk values formed by binary...
Dan Lindahl, John Palmer, Mattias Ohlsson, Carsten Peterson, Phd Carsten, Anders Lundin, ...
The purpose of the present study was to develop a computer-based method for automatic detection and localization of coronary artery disease in myocardial bull's-eye scintigrams. Methods: A...
Local Interactions and Protein Folding: A 3D Off-Lattice Approach (1997)
Anders Irbäck, Carsten Peterson, Frank Potthast, Ola Sommelius
: The thermodynamic behavior of a three-dimensional off-lattice model for protein folding is probed. The model has only two types of residues, hydrophobic and hydrophilic. In absence of local...
Identification of Amino Acid Sequences with Good Folding Properties in an Off-Lattice Model (1997)
Anders Irbäck, Carsten Peterson, Frank Potthast
: Folding properties of a two-dimensional toy protein model containing only two amino-acid types, hydrophobic and hydrophilic respectively, are analyzed. An efficient Monte Carlo procedure is...
Airline Crew Scheduling with Potts Neurons (1997)
Martin Lagerholm, Carsten Peterson, Bo Söderberg
: A Potts feedback neural network approach for finding good solutions to resource allocation problems with a non-fixed topology is presented. As a target application the airline crew scheduling...
Airline Crew Scheduling with Potts Neurons (1997)
Martin Lagerholm, Carsten Peterson, Bo Söderberg
: A Potts feedback neural network approach for finding good solutions to resource allocation problems with a non-fixed topology is presented. As a target application the airline crew scheduling...
A Potts Neuron Approach to Communication Routing (1997)
Jari Häkkinen, Martin Lagerholm, Carsten Peterson, Bo Söderberg
: A feedback neural network approach to communication routing problems is developed with emphasis on Multiple Shortest Path problems, with several requests for transmissions between distinct startand...
Local Interactions and Protein Folding: A 3D Off-Lattice Approach (1996)
Irbäck, Anders, Peterson, Carsten, Potthast, Frank, Sommelius, Ola
The thermodynamic behavior of a three-dimensional off-lattice model for protein folding is probed. The model has only two types of residues, hydrophobic and hydrophilic. In absence of local...
Identification of Amino Acid Sequences with Good Folding Properties in an Off-Lattice Model (1996)
Irbäck, Anders, Peterson, Carsten, Potthast, Frank
Folding properties of a two-dimensional toy protein model containing only two amino-acid types, hydrophobic and hydrophilic, respectively, are analyzed. An efficient Monte Carlo procedure is employed...
Scaling and Scale Breaking in Polyelectrolyte (1996)
Peterson, Carsten, Sommelius, Ola, Söderberg, Bo
We consider the thermodynamics of a uniformly charged polyelectrolyte with harmonic bonds. For such a system there is at high temperatures an approximate scaling of global properties like the...
Bo Hedén, Mattias Ohlsson, Ralf Rittner, Olle Pahlm, Carsten Peterson, Lars Edenbr
Objectives: The purpose of the present study was to compare artificial neural networks and an experienced electrocardiographer diagnosing healed myocardial infarction from the 12-lead...
Bo Hedén, Mattias Ohlsson, Holger Holst, Mattias Mjöman, Ralf Rittner, Olle Pahlm, ...
this paper. There were 208 ECGs with a lead reversal found in the database, and 194 belonged to one of the types under study in this paper (116) or to one of the lead reversals involving the...
Scaling and Scale Breaking in Polyelectrolytes (1996)
Carsten Peterson, Ola Sommelius, Bo Söderberg
: We consider the thermodynamics of a uniformly charged polyelectrolyte with harmonic bonds. For such a system there is at high temperatures an approximate scaling of global properties like the...
Evidence for Non-Random Hydrophobicity Structures in Protein Chains (1995)
Irbäck, Anders, Peterson, Carsten, Potthast, Frank
The question of whether proteins originate from random sequences of amino acids is addressed. A statistical analysis is performed in terms of blocked and random walk values formed by binary...
A Variational Approach for Minimizing Lennard-Jones Energies (1995)
Peterson, Carsten, Sommelius, Ola, Söderberg, Bo
A variational method for computing conformational properties of molecules with Lennard-Jones potentials for the monomer-monomer interactions is presented. The approach is tailored to deal with...
A Blocking Technique for Emulating Very Large Polyelectrolytes (1995)
Carsten Peterson, Ola Sommelius, Bo Söderberg
: A new Monte Carlo method for computing thermodynamical properties of very large polyelectrolytes is presented. It is based on a renormalization group relating the original polymer to a smaller...
Titrating Polyelectrolytes - Variational Calculations and Monte Carlo Simulations (1995)
Titrating Polyelectrolytes Variational, Bo Jönsson, Magnus Ullner, Carsten Peterson, Ola Sommelius, Bo Söderberg
: Variational methods are used to calculate structural and thermodynamical properties of a titrating polyelectrolyte in a discrete representation. In the variational treatment, the Coulomb potentials...
Bo Jönsson, Carsten Peterson, Bo Söderberg
: A variational approach, based on a discrete representation of the chain, is used to calculate free energy and conformational properties in polyelectrolytes. The true bond and Coulomb potentials are...
: A general method is discussed, the ffi -test, which establishes functional dependencies given a table of measurements. The approach is based on calculating conditional probabilities from data...
Finding the Embedding Dimension and Variable Dependences in Time Series (1994)
: We present a general method, the ffi-test, which establishes functional dependencies given a sequence of measurements. The approach is based on calculating conditional probabilities from vector...
Delta 2.0 - A Program for Finding Dependencies in Tables of Data (1994)
: A package written in C for identifying variable dependencies in tables of data is presented. The key ingredient is the ffi -test, which establishes dependency structures by exploiting the...
Estimating Nonlinear Regression Errors without Doing Regression (1994)
: A method for estimating nonlinear regression errors and their distributions without performing regression is presented. Assuming continuity of the modeling function the variance is given in terms...
Neural Networks for Optimization Problems with Inequality Constraints - the Knapsack Problem (1993)
Mattias Ohlsson, Carsten Peterson, Bo Söderberg
: A strategy for finding approximate solutions to discrete optimization problems with inequality constraints using mean field neural networks is presented. The constraints x 0 are encoded by...
Variational Approach to Correlations in Polymers (1993)
Bo Jönsson, Carsten Peterson, Bo Söderberg
: A deterministic algorithm for calculating polymer properties is presented. It is based on a variational approach where the bond and Coulomb potentials are approximated by a quadratic trial energy....
Neural Networks for Optimization Problems with Inequality Constraints - the Knapsack Problem (1993)
Mattias Ohlsson Carsten, Carsten Peterson, Bo Soderberg
: A strategy for finding approximate solutions to discrete optimization problems with inequality constraints using mean field neural networks is presented. The constraints x 0 are encoded by...
JETNET 3.0 - A Versatile Artificial Neural Network Package (1993)
Carsten Peterson, Thorsteinn Rögnvaldsson, Leif Lönnblad
this paper quantities written in sans-serif denote matrices and quantities written in boldface denote vectors
JETNET 3.0 -- A Versatile Artificial Neural Network Package (1993)
this paper quantities written in sans-serif denote matrices and quantities written in boldface denote vectors
Track Finding with Deformable Templates - The Elastic Arms Approach (1992)
Mattias Ohlsson, Carsten Peterson, Alan L. Yuille
: A novel algorithm for particle tracking is presented and evaluated. It is based on deformable templates that converge using a deterministic annealing algorithm. These deformable templates are...
Combinatorial Optimization with Neural Networks (1992)
Carsten Peterson, Bo Söderberg
A general introduction to the use of feed-back artificial neural networks (ANN) for obtaining good approximate solutions to combinatorial optimization problems is given, assuming no previous...
: We present and summarize the results from 50-, 100- and 200-city TSP benchmarks presented at the 1989 NIPS post-conference workshop using neural network, elastic net, genetic algorithm and...
Finding Gluon Jets with a Neural Trigger (1990)
Leif Lönnblad, Carsten Peterson, Thorsteinn Rögnvaldsson
: Using a neural network classifier we are able to separate gluon from quark jets originating from Monte Carlo generated e + e \Gamma events with 85 \Gamma 90% accuracy. PACS numbers: 13.65.+i,...
"Teachers and Classes" with Neural Networks (1989)
Lars Gislen, Carsten Peterson, Bo Söderberg
: A convenient mapping and an efficient algorithm for solving scheduling problems within the neural network paradigm is presented. It is based on a reduced encoding scheme and a mean field annealing...
A New Method for Mapping Optimization Problems onto Neural Networks (1989)
Carsten Peterson, Bo Söderberg
: A novel modified method for obtaining approximate solutions to difficult optimization problems within the neural network paradigm is presented. We consider the graph partition and the travelling...
Phenomenological investigations in hadron physics with emphasison quark structure / (1977)
Thesis (doctoral)--University of Lund, 1977.
© North-Holland Publishing Company RESCATTERING EFFECTS IN THE DECAY OF THE A 1 (1976)
Gbsta Gustafson, Carsten Peterson
Rescattering effects in the 3n system in the A 1 region are studied with a method, which fulfils unitarity and has the proper analytic structure. Fairly small effects are ob-tained which confirm the...
Saal, Lao H, Troein, Carl, Vallon-Christersson, Johan, Gruvberger, Sofia, Borg, Åke, Peterson, Carsten
The microarray technique requires the organization and analysis of vast amounts of data. These data include information about the samples hybridized, the hybridization images and their extracted data...
Expression profiling to predict outcome in breast cancer: the influence of sample selection
Gruvberger, Sofia K, Ringnér, Markus, Edén, Patrik, Borg, Åke, Fernö, Mårten, Peterson, Carsten, ...
Gene expression profiling of tumors using DNA microarrays is a promising method for predicting prognosis and treatment response in cancer patients. It was recently reported that expression profiles...
Matching protein structures with fuzzy alignments
Blankenbecler, Richard, Ohlsson, Mattias, Peterson, Carsten, Ringnér, Markus
Unraveling functional and ancestral relationships between proteins as well as structure-prediction procedures require powerful protein-alignment methods. A structure-alignment method is presented...
Random Boolean network models and the yeast transcriptional network
Kauffman, Stuart, Peterson, Carsten, Samuelsson, Björn, Troein, Carl
The recently measured yeast transcriptional network is analyzed in terms of simplified Boolean network models, with the aim of determining feasible rule structures, given the requirement of stable...
Genetic networks with canalyzing Boolean rules are always stable
Kauffman, Stuart, Peterson, Carsten, Samuelsson, Björn, Troein, Carl
We determine stability and attractor properties of random Boolean genetic network models with canalyzing rules for a variety of architectures. For all power law, exponential, and flat in-degree...
Signal transduction pathway profiling of individual tumor samples
Breslin, Thomas, Krogh, Morten, Peterson, Carsten, Troein, Carl
Khan, Javed, Wei, Jun S., Ringnér, Markus, Saal, Lao H., Ladanyi, Marc, Westermann, Frank, ...
The purpose of this study was to develop a method of classifying cancers to specific diagnostic categories based on their gene expression signatures using artificial neural networks (ANNs). We...
Transcriptional Dynamics of the Embryonic Stem Cell Switch
Chickarmane, Vijay, Troein, Carl, Nuber, Ulrike A, Sauro, Herbert M, Peterson, Carsten
Recent ChIP experiments of human and mouse embryonic stem cells have elucidated the architecture of the transcriptional regulatory circuitry responsible for cell determination, which involves the...
Saal, Lao H, Troein, Carl, Vallon-Christersson, Johan, Gruvberger, Sofia, Borg, Åke, Peterson, Carsten
The microarray technique requires the organization and analysis of vast amounts of data. These data include information about the samples hybridized, the hybridization images and their extracted data...
Expression profiling to predict outcome in breast cancer: the influence of sample selection
Gruvberger, Sofia K, Ringnér, Markus, Edén, Patrik, Borg, Åke, Fernö, Mårten, Peterson, Carsten, ...
Gene expression profiling of tumors using DNA microarrays is a promising method for predicting prognosis and treatment response in cancer patients. It was recently reported that expression profiles...
Matching protein structures with fuzzy alignments
Blankenbecler, Richard, Ohlsson, Mattias, Peterson, Carsten, Ringnér, Markus
Unraveling functional and ancestral relationships between proteins as well as structure-prediction procedures require powerful protein-alignment methods. A structure-alignment method is presented...
Random Boolean network models and the yeast transcriptional network
Kauffman, Stuart, Peterson, Carsten, Samuelsson, Björn, Troein, Carl
The recently measured yeast transcriptional network is analyzed in terms of simplified Boolean network models, with the aim of determining feasible rule structures, given the requirement of stable...
Genetic networks with canalyzing Boolean rules are always stable
Kauffman, Stuart, Peterson, Carsten, Samuelsson, Björn, Troein, Carl
We determine stability and attractor properties of random Boolean genetic network models with canalyzing rules for a variety of architectures. For all power law, exponential, and flat in-degree...
Signal transduction pathway profiling of individual tumor samples
Breslin, Thomas, Krogh, Morten, Peterson, Carsten, Troein, Carl
Transcriptional Dynamics of the Embryonic Stem Cell Switch
Chickarmane, Vijay, Troein, Carl, Nuber, Ulrike A, Sauro, Herbert M, Peterson, Carsten
Recent ChIP experiments of human and mouse embryonic stem cells have elucidated the architecture of the transcriptional regulatory circuitry responsible for cell determination, which involves the...
A Rate Equation Approach to Elucidate the Kinetics and Robustness of the TGF-β Pathway
Melke, Pontus, Jönsson, Henrik, Pardali, Evangelia, Ten Dijke, Peter, Peterson, Carsten
We present a rate equation model for the TGF-β pathway in endothelial cells together with novel measurements. This pathway plays a prominent role in inter- and intracellular communication and...
Niméus-Malmström, Emma, Krogh, Morten, Malmström, Per, Strand, Carina, Fredriksson, Irma, Karlsson, Per, ...
Chickarmane, Vijay, Enver, Tariq, Peterson, Carsten
Hematopoietic stem cell lineage choices are decided by genetic networks that are turned ON/OFF in a switch-like manner. However, prior to lineage commitment, genes are primed at low expression...
Artificial Neural Networks for Recognition of Electrocardiographic Lead Reversal
Bo Heden, Mattias Ohlsson, Lars Edenbrandt, Ralf Rittner, Olle Pahlm, Carsten Peterson, ...
Misplacement of electrodes during the recording of an electrocardiogram (ECG) can cause an incorrect interpretation, misdiagnosis and subsequent lack of proper treatment. The purpose of this study...
Statistical Properties of Unrestricted Crew Scheduling Problems
Martin Lagerholm, Carsten Peterson, Bo Soderberg
: A statistical analysis is performed for a random unrestricted local crew scheduling problem, expressed in terms of pairing arrivals with departures. The analysis is aimed at understanding the...
Statistical Properties of Unrestricted Crew Scheduling Problems
Martin Lagerholm, Carsten Peterson, Bo Söderberg
: A statistical analysis is performed for a random unrestricted local crew scheduling problem, expressed in terms of pairing arrivals with departures. The analysis is aimed at understanding the...
Colecchia, Federico, Kottwitz, Denise, Wagner, Mandy, Pfenninger, Cosima V., Thiel, Gerald, Tamm, Ingo, ...
The prediction of transcription factor binding sites in genomic sequences is in principle very useful to identify upstream regulatory factors. However, when applying this concept to genomes of...