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BMCBI
2007
166views more  BMCBI 2007»
13 years 8 months ago
How to decide which are the most pertinent overly-represented features during gene set enrichment analysis
Background: The search for enriched features has become widely used to characterize a set of genes or proteins. A key aspect of this technique is its ability to identify correlati...
Roland Barriot, David J. Sherman, Isabelle Dutour
BMCBI
2008
121views more  BMCBI 2008»
13 years 8 months ago
Microarray data mining using landmark gene-guided clustering
Background: Clustering is a popular data exploration technique widely used in microarray data analysis. Most conventional clustering algorithms, however, generate only one set of ...
Pankaj Chopra, Jaewoo Kang, Jiong Yang, HyungJun C...
BMCBI
2010
154views more  BMCBI 2010»
13 years 5 months ago
Knowledge-based matrix factorization temporally resolves the cellular responses to IL-6 stimulation
Background: External stimulations of cells by hormones, cytokines or growth factors activate signal transduction pathways that subsequently induce a re-arrangement of cellular gen...
Andreas Kowarsch, Florian Blöchl, Sebastian B...
BMCBI
2011
13 years 3 months ago
RedundancyMiner: De-replication of redundant GO categories in microarray and proteomics analysis
Background: The Gene Ontology (GO) Consortium organizes genes into hierarchical categories based on biological process, molecular function and subcellular localization. Tools such...
Barry Zeeberg, Hongfang Liu, Ari B. Kahn, Martin E...
SAC
2004
ACM
14 years 1 months ago
Time-frequency feature detection for time-course microarray data
Gene clustering based on microarray data provides useful functional information to the working biologists. Many current gene-clustering algorithms rely on Euclidean-based distance...
Jiawu Feng, Paolo Emilio Barbano, Bud Mishra