140 search results - page 16 / 28 » Variable Selection from Random Forests: Application to Gene ... |
BMCBI
2010
13 years 8 months ago
2010
Background: Microarray data is frequently used to characterize the expression profile of a whole genome and to compare the characteristics of that genome under several conditions....
TNN
2008
13 years 8 months ago
2008
Abstract--High-dimensional data are common in many domains, and dimensionality reduction is the key to cope with the curse-of-dimensionality. Linear discriminant analysis (LDA) is ...
BMCBI
2006
13 years 8 months ago
2006
Background: Gene expression microarray data is notoriously subject to high signal variability. Moreover, unavoidable variation in the concentration of transcripts applied to micro...
AIME
2007
Springer
14 years 2 months ago
2007
Springer
This paper discusses variable selection for medical decision making; in particular decisions regarding when to provide treatment and which treatment to provide. Current variable se...
BMCBI
2007
13 years 8 months ago
2007
Background: The functions of human cells are carried out by biomolecular networks, which include proteins, genes, and regulatory sites within DNA that encode and control protein e...