244 search results - page 43 / 49 » Feature selection for high-dimensional genomic microarray da... |
BMCBI
2005
13 years 7 months ago
2005
Background: It is common for the results of a microarray study to be analyzed in the context of biologically-motivated groups of genes such as pathways or Gene Ontology categories...
JMLR
2011
13 years 2 months ago
2011
We propose a framework MIC (Multiple Inclusion Criterion) for learning sparse models based on the information theoretic Minimum Description Length (MDL) principle. MIC provides an...
TCBB
2011
13 years 2 months ago
2011
: Extraction of meaningful information from large experimental datasets is a key element of bioinformatics research. One of the challenges is to identify genomic markers in Hepatit...
CIBCB
2005
IEEE
14 years 1 months ago
2005
IEEE
— In this paper we address the problem of predicting gene activities by finding gene regulatory dependencies in experimental DNA microarray data. Only few approaches to infer th...
BMCBI
2008
13 years 7 months ago
2008
Background: Single nucleotide polymorphisms (SNPs) are the most common genetic variations in the human genome and are useful as genomic markers. Oligonucleotide SNP microarrays ha...