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» A stable gene selection in microarray data analysis
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BMCBI
2007
146views more  BMCBI 2007»
13 years 7 months ago
Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data
Background: Transcriptional modules (TM) consist of groups of co-regulated genes and transcription factors (TF) regulating their expression. Two high-throughput (HT) experimental ...
Xiangdong Liu, Walter J. Jessen, Siva Sivaganesan,...
WABI
2001
Springer
162views Bioinformatics» more  WABI 2001»
14 years 4 days ago
A Simple Hyper-Geometric Approach for Discovering Putative Transcription Factor Binding Sites
A central issue in molecular biology is understanding the regulatory mechanisms that control gene expression. The recent flood of genomic and postgenomic data opens the way for co...
Yoseph Barash, Gill Bejerano, Nir Friedman
BMCBI
2011
13 years 2 months ago
A Platform for Processing Expression of Short Time Series (PESTS)
Background: Time course microarray profiles examine the expression of genes over a time domain. They are necessary in order to determine the complete set of genes that are dynamic...
Anshu Sinha, Marianthi Markatou
BMCBI
2005
120views more  BMCBI 2005»
13 years 7 months ago
Harshlight: a "corrective make-up" program for microarray chips
Background: Microscopists are familiar with many blemishes that fluorescence images can have due to dust and debris, glass flaws, uneven distribution of fluids or surface coatings...
Mayte Suárez-Fariñas, Maurizio Pelle...
BMCBI
2008
94views more  BMCBI 2008»
13 years 7 months ago
A comprehensive re-analysis of the Golden Spike data: Towards a benchmark for differential expression methods
Background: The Golden Spike data set has been used to validate a number of methods for summarizing Affymetrix data sets, sometimes with seemingly contradictory results. Much less...
Richard D. Pearson