149 search results - page 10 / 30 » Gene selection from microarray data for cancer classificatio... |
GECCO
2007
Springer
14 years 1 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...
BIBE
2007
IEEE
14 years 1 months ago
2007
IEEE
—High-throughput data such as microarrays make it possible to investigate the molecular-level mechanism of cancer more efficiently. Computational methods boost the microarray ana...
BMCBI
2006
13 years 7 months ago
2006
Background: Gene selection is an important step when building predictors of disease state based on gene expression data. Gene selection generally improves performance and identifi...
KDD
2004
ACM
14 years 8 months ago
2004
ACM
In gene expression microarray data analysis, selecting a small number of discriminative genes from thousands of genes is an important problem for accurate classification of diseas...
IDA
2007
Springer
13 years 7 months ago
2007
Springer
: DNA micro-arrays provide thousands of genomic expressions on the same subject. A main issue is then to find the subset of genes whose degeneration is responsible of a certain typ...