97 search results - page 5 / 20 » Using Machine Learning to Design and Interpret Gene-Expressi... |
BMCBI
2010
13 years 7 months ago
2010
Background: Microarray technology allows the simultaneous analysis of thousands of genes within a single experiment. Significance analyses of transcriptomic data ignore the gene d...
JMLR
2010
13 years 2 months ago
2010
Machine learning methods that can use additional knowledge in their inference process are central to the development of integrative bioinformatics. Inclusion of background knowled...
CSB
2005
IEEE
14 years 1 months ago
2005
IEEE
One of the major challenges in cancer diagnosis from microarray data is to develop robust classification models which are independent of the analysis techniques used and can combi...
BMCBI
2011
12 years 11 months ago
2011
Background: The search for cluster structure in microarray datasets is a base problem for the so-called “-omic sciences”. A difficult problem in clustering is how to handle da...
BMCBI
2007
13 years 7 months ago
2007
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...