782 search results - page 50 / 157 » Combined Gene Selection Methods for Microarray Data Analysis |
137
Voted
ISMDA
2005
Springer
15 years 8 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...
114
Voted
BMCBI
2007
15 years 2 months ago
2007
Background: The analysis of microarray experiments requires accurate and up-to-date functional annotation of the microarray reporters to optimize the interpretation of the biologi...
108
Voted
BMCBI
2007
15 years 2 months ago
2007
Background: With the growing abundance of microarray data, statistical methods are increasingly needed to integrate results across studies. Two common approaches for meta-analysis...
140
Voted
BMCBI
2006
15 years 2 months ago
2006
Background: Gene Ontology (GO) characterizes and categorizes the functions of genes and their products according to biological processes, molecular functions and cellular componen...
134
Voted
COMPLIFE
2006
Springer
15 years 6 months ago
2006
Springer
Abstract. This paper presents a method that uses gene ontologies, together with the paradigm of relational subgroup discovery, to help find description of groups of genes different...