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» Current approaches to gene regulatory network modelling
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NIPS
2008
13 years 10 months ago
Mixed Membership Stochastic Blockmodels
Consider data consisting of pairwise measurements, such as presence or absence of links between pairs of objects. These data arise, for instance, in the analysis of protein intera...
Edoardo Airoldi, David M. Blei, Stephen E. Fienber...
JCB
2000
103views more  JCB 2000»
13 years 8 months ago
Testing for Differentially-Expressed Genes by Maximum-Likelihood Analysis of Microarray Data
Although two-color uorescent DNA microarrays are now standard equipment in many molecular biology laboratories, methods for identifying differentially expressed genes in microarra...
Trey Ideker, Vesteinn Thorsson, Andrew F. Siegel, ...
AB
2008
Springer
14 years 2 months ago
Local Structure and Behavior of Boolean Bioregulatory Networks
Abstract. A well-known discrete approach to modeling biological regulatory networks is the logical framework developed by R. Thomas. The network structure is captured in an interac...
Heike Siebert
BMCBI
2006
184views more  BMCBI 2006»
13 years 8 months ago
PathSys: integrating molecular interaction graphs for systems biology
Background: The goal of information integration in systems biology is to combine information from a number of databases and data sets, which are obtained from both high and low th...
Michael Baitaluk, Xufei Qian, Shubhada Godbole, Al...
BMCBI
2006
120views more  BMCBI 2006»
13 years 8 months ago
A factor analysis model for functional genomics
Background: Expression array data are used to predict biological functions of uncharacterized genes by comparing their expression profiles to those of characterized genes. While b...
Rafal Kustra, Romy Shioda, Mu Zhu