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» Analysis of variance components in gene expression data
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BMCBI
2008
115views more  BMCBI 2008»
13 years 6 months ago
Principal components analysis based methodology to identify differentially expressed genes in time-course microarray data
Background: Time-course microarray experiments are being increasingly used to characterize dynamic biological processes. In these experiments, the goal is to identify genes differ...
Sudhakar Jonnalagadda, Rajagopalan Srinivasan
BMCBI
2006
183views more  BMCBI 2006»
13 years 5 months ago
Mining gene expression data by interpreting principal components
Background: There are many methods for analyzing microarray data that group together genes having similar patterns of expression over all conditions tested. However, in many insta...
Joseph C. Roden, Brandon W. King, Diane Trout, Ali...
BMCBI
2010
133views more  BMCBI 2010»
13 years 6 months ago
New components of the Dictyostelium PKA pathway revealed by Bayesian analysis of expression data
Background: Identifying candidate genes in genetic networks is important for understanding regulation and biological function. Large gene expression datasets contain relevant info...
Anup Parikh, Eryong Huang, Christopher Dinh, Blaz ...
GPB
2008
41views more  GPB 2008»
13 years 5 months ago
Gene Expression Data Classification Using Consensus Independent Component Analysis
Chun-Hou Zheng, De-Shuang Huang, Xiangzhen Kong, X...
BMCBI
2008
145views more  BMCBI 2008»
13 years 6 months ago
Mapping gene expression quantitative trait loci by singular value decomposition and independent component analysis
Background: The combination of gene expression profiling with linkage analysis has become a powerful paradigm for mapping gene expression quantitative trait loci (eQTL). To date, ...
Shameek Biswas, John D. Storey, Joshua M. Akey