1760 search results - page 37 / 352 » Gene set analysis using principal components |
BMCBI
2007
13 years 8 months ago
2007
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...
BMCBI
2007
13 years 8 months ago
2007
Background: Gene-set analysis evaluates the expression of biological pathways, or a priori defined gene sets, rather than that of individual genes, in association with a binary ph...
BMCBI
2010
13 years 8 months ago
2010
Background: An important objective of DNA microarray-based gene expression experimentation is determining interrelationships that exist between differentially expressed genes and ...
NIPS
2003
13 years 9 months ago
2003
Principal components analysis (PCA) is one of the most widely used techniques in machine learning and data mining. Minor components analysis (MCA) is less well known, but can also...
BMCBI
2010
13 years 8 months ago
2010
Background: Network Component Analysis (NCA) has been used to deduce the activities of transcription factors (TFs) from gene expression data and the TF-gene binding relationship. ...