113 search results - page 12 / 23 » Learning Microarray Gene Expression Data by Hybrid Discrimin... |
CSB
2003
IEEE
15 years 2 months ago
2003
IEEE
Cluster methods have been successfully applied in gene expression data analysis to address tumor classification. By grouping tissue samples into homogeneous subsets, more systema...
RECOMB
2000
Springer
15 years 1 months ago
2000
Springer
DNA hybridization arrays simultaneously measure the expression level for thousands of genes. These measurements provide a "snapshot" of transcription levels within the c...
WABI
2004
Springer
15 years 2 months ago
2004
Springer
Abstract. Genomic instabilities, amplifications, deletions and translocations are often observed in tumor cells. In the process of cancer pathogenesis cells acquire multiple genom...
BMCBI
2006
14 years 9 months ago
2006
Background: Gene expression microarray technology permits the analysis of global gene expression profiles. The amount of sample needed limits the use of small excision biopsies an...
95
Voted
COMPLIFE
2006
Springer
15 years 1 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...