Starr: Simple Tiling Array Analysis of Affymetrix ChIP-chip data (2009)
Zacher, Benedikt, Tresch, Achim
Chromatin immunoprecipitation combined with DNA microarrays (ChIP-chip) is an assay for DNA-protein-binding or post-translational chromatin/histone modifications. As with all high-throughput...
A Bayesian Network View on Nested Effects Models (2009)
Cordula Zeller, Holger Fröhlich, Achim Tresch
Nested effects models (NEMs) are a class of probabilistic models that were designed to reconstruct a hidden signalling structure from a large set of observable effects caused by active interventions...
A Bayesian Network View on Nested Effects Models (2009)
Cordula Zeller, Holger Fröhlich, Achim Tresch
Nested effects models (NEMs) are a class of probabilistic models that were designed to reconstruct a hidden signalling structure from a large set of observable effects caused by active interventions...
This exercise will give an introduction to the use of nested effects models (NEMs). There are two packages which implement different variants of nested effects models: nem which was introduced in...
Structure Learning in Nested Effects Models (2008)
Tresch, Achim, Markowetz, Florian
Nested Effects Models (NEMs) are a class of graphical models introduced to analyze the results of gene perturbation screens. NEMs explore noisy subset relations between the high-dimensional outputs...
Structure Learning in Nested Effects Models (2008)
Tresch, Achim, Markowetz, Florian
Nested Effects Models (NEMs) are a class of graphical models introduced to analyze the results of gene perturbation screens. NEMs explore noisy subset relations between the high-dimensional outputs...
Structure Learning in Nested Effects Models (2008)
Tresch, Achim, Markowetz, Florian
Nested Effects Models (NEMs) are a class of graphical models introduced to analyze the results of gene perturbation screens. NEMs explore noisy subset relations between the high-dimensional outputs...
Structure Learning in Nested Effects Models (2008)
Tresch, Achim, Markowetz, Florian
Nested Effects Models (NEMs) are a class of graphical models introduced to analyze the results of gene perturbation screens. NEMs explore noisy subset relations between the high-dimensional outputs...
Fassunke, Jana, Majores, Michael, Tresch, Achim, Niehusmann, Pitt, Grote, Alexander, Schoch, Susanne, ...
Gangliogliomas, the most frequent neoplasms in patients with pharmacoresistant focal epilepsies, are characterized by histological combinations of glial and dysplastic neuronal elements, a highly...
Analyzing gene perturbation screens with nested effects models in R and bioconductor (2008)
Fröhlich, Holger, Beißbarth, Tim, Tresch, Achim, Kostka, Dennis, Jacob, Juby, Spang, Rainer, ...
Summary: Nested effects models (NEMs) are a class of probabilistic models introduced to analyze the effects of gene perturbation screens visible in high-dimensional phenotypes like microarrays or...
Structure Learning in Nested Effects Models (2007)
Tresch, Achim, Markowetz, Florian
Nested Effects Models (NEMs) are a class of graphical models introduced to analyze the results of gene perturbation screens. NEMs explore noisy subset relations between the high-dimensional outputs...
Buness, Andreas, Kuner, Ruprecht, Ruschhaupt, Markus, Poustka, Annemarie, Sültmann, Holger, Tresch, Achim
Motivation: In cancer, chromosomal imbalances like amplifications and deletions, or changes in epigenetic mechanisms like DNA methylation influence the transcriptional activity. These alterations are...
Generalized soluble groups of finite co-central rank / (2002)
Mainz, University, Diss., 2002.
Generalized soluble groups of finite co-central rank [Elektronische Ressource] / (2002)
Mainz, University, Diss., 2002.
A Bayesian Network View on Nested Effects Models
Zeller, Cordula, Fröhlich, Holger, Tresch, Achim
Nested effects models (NEMs) are a class of probabilistic models that were designed to reconstruct a hidden signalling structure from a large set of observable effects caused by active interventions...
Structure Learning in Nested Effects Models
Achim Tresch, Florian Markowetz
Nested Effects Models (NEMs) are a class of graphical models introduced to analyze the results of gene perturbation screens. NEMs explore noisy subset relations between the high-dimensional outputs...
Anchang, Benedict, Sadeh, Mohammad J., Jacob, Juby, Tresch, Achim, Vlad, Marcel O., Oefner, Peter J., ...
Cellular decision making in differentiation, proliferation, or cell death is mediated by molecular signaling processes, which control the regulation and expression of genes. Vice versa, the...
Analyzing gene perturbation screens with nested effects models in R and bioconductor
Fröhlich, Holger, Beißbarth, Tim, Tresch, Achim, Kostka, Dennis, Jacob, Juby, Spang, Rainer, ...
Summary: Nested effects models (NEMs) are a class of probabilistic models introduced to analyze the effects of gene perturbation screens visible in high-dimensional phenotypes like microarrays or...