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RECOMB
2004
Springer
14 years 8 months ago
Learning Regulatory Network Models that Represent Regulator States and Roles
Abstract. We present an approach to inferring probabilistic models of generegulatory networks that is intended to provide a more mechanistic representation of transcriptional regul...
Keith Noto, Mark Craven
BMCBI
2007
129views more  BMCBI 2007»
13 years 7 months ago
Integrated network reconstruction, visualization and analysis using YANAsquare
Background: Modeling of metabolic networks includes tasks such as network assembly, network overview, calculation of metabolic fluxes and testing the robustness of the network. Re...
Roland Schwarz, Chunguang Liang, Christoph Kaleta,...
NIPS
2000
13 years 9 months ago
Stability and Noise in Biochemical Switches
Many processes in biology, from the regulation of gene expression in bacteria to memory in the brain, involve switches constructed from networks of biochemical reactions. Crucial ...
William Bialek
BMCBI
2008
150views more  BMCBI 2008»
13 years 7 months ago
13C labeling experiments at metabolic nonstationary conditions: An exploratory study
Background: Stimulus Response Experiments to unravel the regulatory properties of metabolic networks are becoming more and more popular. However, their ability to determine enzyme...
Sebastian Aljoscha Wahl, Katharina Nöh, Wolfg...
BMCBI
2010
113views more  BMCBI 2010»
13 years 7 months ago
Probabilistic Principal Component Analysis for Metabolomic Data
Background: Data from metabolomic studies are typically complex and high-dimensional. Principal component analysis (PCA) is currently the most widely used statistical technique fo...
Gift Nyamundanda, Lorraine Brennan, Isobel Claire ...