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JBI
2002
13 years 8 months ago
Revising regulatory networks: from expression data to linear causal models
Discovering the complex regulatory networks that govern mRNA expression is an important but difficult problem. Many current approaches use only expression data from microarrays to...
Stephen D. Bay, Jeff Shrager, Andrew Pohorille, Pa...
BMCBI
2007
140views more  BMCBI 2007»
13 years 8 months ago
Investigations into the relationship between feedback loops and functional importance of a signal transduction network based on
Background: A number of studies on biological networks have been carried out to unravel the topological characteristics that can explain the functional importance of network nodes...
Yung-Keun Kwon, Sun Shim Choi, Kwang-Hyun Cho
BMCBI
2010
151views more  BMCBI 2010»
13 years 8 months ago
TF-finder: A software package for identifying transcription factors involved in biological processes using microarray data and e
Background: Identification of transcription factors (TFs) involved in a biological process is the first step towards a better understanding of the underlying regulatory mechanisms...
Xiaoqi Cui, Tong Wang, Huann-Sheng Chen, Victor Bu...
RECOMB
2010
Springer
13 years 7 months ago
Predicting Nucleosome Positioning Using Multiple Evidence Tracks
Abstract. We describe a probabilistic model, implemented as a dynamic Bayesian network, that can be used to predict nucleosome positioning along a chromosome based on one or more g...
Sheila M. Reynolds, Zhiping Weng, Jeff A. Bilmes, ...
BMCBI
2007
110views more  BMCBI 2007»
13 years 8 months ago
Analysis of feedback loops and robustness in network evolution based on Boolean models
Background: Many biological networks such as protein-protein interaction networks, signaling networks, and metabolic networks have topological characteristics of a scale-free degr...
Yung-Keun Kwon, Kwang-Hyun Cho