140 search results - page 1 / 28 » Variable Selection from Random Forests: Application to Gene ... |
JBI
2004
14 years 16 days ago
2004
BMCBI
2006
13 years 11 months ago
2006
Background: Selection of relevant genes for sample classification is a common task in most gene expression studies, where researchers try to identify the smallest possible set of ...
BMCBI
2008
13 years 11 months ago
2008
Background: Cancer diagnosis and clinical outcome prediction are among the most important emerging applications of gene expression microarray technology with several molecular sig...
BMCBI
2007
13 years 11 months ago
2007
Variable importance measures for random forests have been receiving increased attention as a means of variable selection in many classification tasks in bioinformatics and relate...
BMCBI
2010
13 years 11 months ago
2010
Background: Chow and Liu showed that the maximum likelihood tree for multivariate discrete distributions may be found using a maximum weight spanning tree algorithm, for example K...