James S. Schwaber

Article Importance of Input Perturbations and Stochastic Gene Expression in the Reverse Engineering of Genetic Regulatory Networks: Insights From an Identifiability Analysis of an In Silico Network (2008)

Daniel E. Zak, Gregory E. Gonye, James S. Schwaber

Gene expression profiles are an increasingly common data source that can yield insights into the functions of cells at a system-wide level. The present work considers the limitations in information...

Analysis and Neuronal Modeling of the Nonlinear Characteristics of a Local Cardiac Reflex in the Rat (2007)

Rajanikanth Vadigepalli, James S. Schwaber

Previous experimental results have suggested the existence of a local cardiac reflex in the rat. In this study, the putative role of such a local reflex in cardiovascular regulation is quantitatively...

A windowed local fdr estimator providing higher resolution and robust thresholds (2007)

Khan, Rishi L., Vadigepalli, Rajanikanth, Gao, Guang, Schwaber, James S.

Motivation: In microarray analysis, special consideration must be given to the issues of multiple statistical tests and typically p-values are adjusted to control family-wise error rate (FWER) or...

Quantifying gene network connectivity in silico: Scalability and accuracy of a modular approach (2006)

Yalamanchili, Nirupama, Zak, Daniel E., Ogunnaike, Babatunde A., Schwaber, James S., Kriete, Andres, Kholodenko, Boris N.

Large, complex data sets that are generated from microarray experiments, create a need for systematic analysis techniques to unravel the underlying connectivity of gene regulatory networks. A modular...

Systems analysis of circadian time-dependent neuronal epidermal growth factor receptor signaling (2006)

Zak, Daniel E, Hao, Haiping, Vadigepalli, Rajanikanth, Miller, Gregory M, Ogunnaike, Babatunde A, Schwaber, James S

Abstract Background Identifying the gene regulatory networks governing physiological signal integration remains an important challenge in circadian biology. Epidermal growth factor receptor (EGFR)...

Systems analysis of circadian time-dependent neuronal epidermal growth factor receptor signaling (2006)

Zak, Daniel E., Hao, Haiping, Vadigepalli, Rajanikanth, Miller, Gregory M., Ogunnaike, Babatunde A., Schwaber, James S.

Background Identifying the gene regulatory networks governing physiological signal integration remains an important challenge in circadian biology. Epidermal growth factor receptor (EGFR) has been...

Systems analysis of circadian time-dependent neuronal epidermal growth factor receptor signaling (2006)

Zak, Daniel E., Hao, Haiping, Vadigepalli, Rajanikanth, Miller, Gregory M., Ogunnaike, Babatunde A., Schwaber, James S.

Background Identifying the gene regulatory networks governing physiological signal integration remains an important challenge in circadian biology. Epidermal growth factor receptor (EGFR) has been...

A universal reference sample derived from clone vector for improved detection of differential gene expression (2006)

Khan, Rishi L, Gonye, Gregory E, Gao, Guang, Schwaber, James S

Abstract Background Using microarrays by co-hybridizing two samples labeled with different dyes enables differential gene expression measurements and comparisons across slides while controlling for...

A universal reference sample derived from clone vector for improved detection of differential gene expression (2006)

Khan, Rishi L., Gonye, Gregory E., Gao, Guang, Schwaber, James S.

Background Using microarrays by co-hybridizing two samples labeled with different dyes enables differential gene expression measurements and comparisons across slides while controlling for...

[Abstract]   [Full Text]   [PDF] Spatiotemporal Activity Patterns During Respiratory Rhythmogenesis in the Rat (2006)

Ilya A. Rybak, James S. Schwaber, J Neurophysiol, J. C. Smith, ...

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Pattern-Specific Synaptic Mechanisms in a Multifunctional Network. I. Effects of Alterations in Synapse Strength (2006)

Ilya A. Rybak, James S. Schwaber, J Neurophysiol, N. Toporikova, J. Tabak, ...

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Quantitative evaluation of clustering results using computatinal negative controls (2004)

Ronald K. Pearson, Tom Zylkin, James S. Schwaber, Gregory E. Gonye

Most partition-based cluster analysis methods (e.g., kmeans) will partition any dataset D into k subsets, regardless of the inherent appropriateness of such a partitioning. This paper presents a...

Importance of Input Perturbations and Stochastic Gene Expression in the Reverse Engineering of Genetic Regulatory Networks: Insights From an Identifiability Analysis of an In Silico Network (2003)

Zak, Daniel E., Gonye, Gregory E., Schwaber, James S., Doyle, Francis J.

Gene expression profiles are an increasingly common data source that can yield insights into the functions of cells at a system-wide level. The present work considers the limitations in information...

Modeling Neural Mechanisms of the Control of Respiration. (1997)

Schwaber, James S.

We have developed computational models of biological neural mechanisms that provide the genesis and control of network oscillations, specific patterns of oscillation, and the control of different...

Modeling neural mechanisms for genesis of respiratory rhythm and pattern. II. Network models of the central respiratory pattern generator (1997)

Ilya A. Rybak, S. Schwaber, Ilya A, ...

Modeling neural mechanisms for genesis of respiratory rhythm and pattern. III. Comparison of model performances during afferent nerve stimulation. J. Neurophysiol. 77: 2027–2039, 1997. The goal of...

Silicon Baroreceptors: Modeling Cardiovascular Pressure Transduction in Analog VLSI (1991)

John Lazzaro, James S. Schwaber, Wade T. Rogers

This paper describes an analog VLSI model of the representation of blood pressure used in a neural control system in the cardiovascular system. The chip computes the representation in real time,...

Silicon baroreceptors: Modeling cardiovascular pressure transduction in analog VLSI (1991)

John Lazzaro, James S. Schwaber, Wade T. Rogers

This paper describes an analog VLSI model of the representation of blood pressure used in a neural control system in the cardiovascular system. The chip computes the representation in real time,...

Importance of Input Perturbations and Stochastic Gene Expression in the Reverse Engineering of Genetic Regulatory Networks: Insights From an Identifiability Analysis of an In Silico Network

Zak, Daniel E., Gonye, Gregory E., Schwaber, James S., Doyle, Francis J.

Gene expression profiles are an increasingly common data source that can yield insights into the functions of cells at a system-wide level. The present work considers the limitations in information...

Importance of Input Perturbations and Stochastic Gene Expression in the Reverse Engineering of Genetic Regulatory Networks: Insights From an Identifiability Analysis of an In Silico Network

Zak, Daniel E., Gonye, Gregory E., Schwaber, James S., Doyle, Francis J.

Gene expression profiles are an increasingly common data source that can yield insights into the functions of cells at a system-wide level. The present work considers the limitations in information...

Systems analysis of circadian time-dependent neuronal epidermal growth factor receptor signaling

Zak, Daniel E, Hao, Haiping, Vadigepalli, Rajanikanth, Miller, Gregory M, Ogunnaike, Babatunde A, Schwaber, James S

A systems level analysis of circadian time-dependent signaling via the epidermal growth factor receptor in the suprachiasmatic nucleus suggests several transcription factors that mediate the...

Dynamic transcriptomic response to acute hypertension in the nucleus tractus solitarius

Khan, Rishi L., Vadigepalli, Rajanikanth, McDonald, Mary K., Rogers, Robert F., Gao, Guang R., Schwaber, James S.

Baroreceptor afferents project to the cardiovascular region of the nucleus tractus solitarius (cvNTS), and their cvNTS target neurons may play a role in governing the sensitivity and operating range...