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BIOINFORMATICS
2004
119views more  BIOINFORMATICS 2004»
13 years 8 months ago
Analysis of variance components in gene expression data
Motivation: A microarray experiment is a multi-step process, and each step is a potential source of variation. There are two major sources of variation: biological variation and t...
James J. Chen, Robert R. Delongchamp, Chen-An Tsai...
BMCBI
2007
144views more  BMCBI 2007»
13 years 8 months ago
Accelerated search for biomolecular network models to interpret high-throughput experimental data
Background: The functions of human cells are carried out by biomolecular networks, which include proteins, genes, and regulatory sites within DNA that encode and control protein e...
Suman Datta, Bahrad A. Sokhansanj
BMCBI
2006
138views more  BMCBI 2006»
13 years 8 months ago
Determination of strongly overlapping signaling activity from microarray data
Background: As numerous diseases involve errors in signal transduction, modern therapeutics often target proteins involved in cellular signaling. Interpretation of the activity of...
Ghislain Bidaut, Karsten Suhre, Jean-Michel Claver...
PSB
2003
13 years 10 months ago
Decomposing Gene Expression into Cellular Processes
We propose a probabilistic model for cellular processes, and an algorithm for discovering them from gene expression data. A process is associated with a set of genes that particip...
Eran Segal, Alexis Battle, Daphne Koller
BIB
2007
59views more  BIB 2007»
13 years 8 months ago
Statistically designing microarrays and microarray experiments to enhance sensitivity and specificity
Gene expression signatures from microarray experiments promise to provide important prognostic tools for predicting disease outcome or response to treatment. A number of microarra...
Jason C. Hsu, Jane Chang, Tao Wang, Eiríkur...