100 search results - page 3 / 20 » Detecting multivariate differentially expressed genes |
BMCBI
2004
13 years 5 months ago
2004
Background: Rhabdomyosarcoma is a relatively common tumour of the soft tissue, probably due to regulatory disruption of growth and differentiation of skeletal muscle stem cells. I...
BMCBI
2004
13 years 5 months ago
2004
Background: Thousands of genes in a genomewide data set are tested against some null hypothesis, for detecting differentially expressed genes in microarray experiments. The expect...
BMCBI
2006
13 years 5 months ago
2006
Background: Traditional methods of analysing gene expression data often include a statistical test to find differentially expressed genes, or use of a clustering algorithm to find...
CSB
2005
IEEE
13 years 11 months ago
2005
IEEE
When building predictors of disease state based on gene expression data, gene selection is performed in order to achieve a good performance and to identify a relevant subset of ge...
BIOINFORMATICS
2010
13 years 4 months ago
2010
Summary: High-throughput RNA sequencing (RNA-seq) is rapidly emerging as a major quantitative transcriptome profiling platform. Here we present DEGseq, an R package to identify di...