962 search results - page 2 / 193 » Redundancy based feature selection for microarray data |
BMCBI
2005
13 years 5 months ago
2005
Background: Accurate diagnosis of cancer subtypes remains a challenging problem. Building classifiers based on gene expression data is a promising approach; yet the selection of n...
BIRD
2007
Springer
13 years 9 months ago
2007
Springer
The paper presents MRNet, an original method for inferring genetic networks from microarray data. This method is based on maximum relevance/minimum redundancy (MRMR), an effective ...
ISMDA
2005
Springer
13 years 10 months ago
2005
Springer
The large number of genes in microarray data makes feature selection techniques more crucial than ever. From various ranking-based filter procedures to classifier-based wrapper tec...
AUSAI
2007
Springer
13 years 9 months ago
2007
Springer
Building classification models plays an important role in DNA mircroarray data analyses. An essential feature of DNA microarray data sets is that the number of input variables (gen...
BMCBI
2010
13 years 5 months ago
2010
Background: Feature selection techniques are critical to the analysis of high dimensional datasets. This is especially true in gene selection from microarray data which are common...