241 search results - page 31 / 49 » Minimum Redundancy Feature Selection from Microarray Gene Ex... |
BMCBI
2006
14 years 9 months ago
2006
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
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...
CIARP
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. An important problem in the bioinformatics field is to understand how genes are regulated and interact through gene networks. This knowledge can be helpful for many appl...
ISMB
2000
14 years 11 months ago
2000
Mycobacterium tuberculosis (M. tb.) strains differ in the number and locations of a transposon-like insertion sequence known as IS6110. Accurate detection of this sequence can be ...
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BMCBI
2006
14 years 9 months ago
2006
Background: Many statistical algorithms combine microarray expression data and genome sequence data to identify transcription factor binding motifs in the low eukaryotic genomes. ...