31 search results - page 4 / 7 » LS Bound based gene selection for DNA microarray data |
NIPS
2000
14 years 12 months ago
2000
We introduce a method of feature selection for Support Vector Machines. The method is based upon finding those features which minimize bounds on the leave-one-out error. This sear...
124
click to vote
JCB
2002
14 years 10 months ago
2002
There are many algorithms to cluster sample data points based on nearness or a similarity measure. Often the implication is that points in different clusters come from different u...
110
click to vote
BMCBI
2006
14 years 10 months ago
2006
Background: Gene Ontology (GO) characterizes and categorizes the functions of genes and their products according to biological processes, molecular functions and cellular componen...
BMCBI
2008
14 years 10 months ago
2008
Background: High-throughput technologies like functional screens and gene expression analysis produce extended lists of candidate genes. Gene-Set Enrichment Analysis is a commonly...
BMCBI
2007
14 years 10 months ago
2007
Background: The advent of RNA interference techniques enables the selective silencing of biologically interesting genes in an efficient way. In combination with DNA microarray tec...