241 search results - page 3 / 49 » Minimum Redundancy Feature Selection from Microarray Gene Ex... |
ICPR
2004
IEEE
14 years 9 months ago
2004
IEEE
In this article we describe an algorithm for feature selection and gene clustering from high dimensional gene expression data. The method is based on measuring similarity between ...
BMCBI
2006
13 years 8 months ago
2006
Background: Numerous feature selection methods have been applied to the identification of differentially expressed genes in microarray data. These include simple fold change, clas...
NIPS
2003
13 years 10 months ago
2003
New feature selection algorithms for linear threshold functions are described which combine backward elimination with an adaptive regularization method. This makes them particular...
GECCO
2007
Springer
14 years 2 months ago
2007
Springer
Selecting the most relevant factors from genetic profiles that can optimally characterize cellular states is of crucial importance in identifying complex disease genes and biomark...
BIBM
2009
IEEE
14 years 3 months ago
2009
IEEE
A major challenge in microarray classification and biomarker discovery is dealing with small-sample high-dimensional data where the number of genes used as features is typically o...