140 search results - page 1 / 28 » Variable Selection from Random Forests: Application to Gene ... |
JBI
2004
13 years 6 months ago
2004
BMCBI
2006
13 years 5 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 5 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 4 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 5 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...