Source:http://linkedlifedata.com/resource/pubmed/id/16113772
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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
3
|
| pubmed:dateCreated |
2005-8-22
|
| pubmed:abstractText |
Single genes are not, in general, the primary focus of gene expression experiments. The researcher might be more interested in relevant pathways, functional sets, or genomic regions consisting of several genes. Efficient statistical tools to handle this task are of interest to research of biology and medicine.
|
| pubmed:language |
eng
|
| pubmed:journal | |
| pubmed:citationSubset |
IM
|
| pubmed:chemical | |
| pubmed:status |
MEDLINE
|
| pubmed:issn |
0026-1270
|
| pubmed:author | |
| pubmed:issnType |
Print
|
| pubmed:volume |
44
|
| pubmed:owner |
NLM
|
| pubmed:authorsComplete |
Y
|
| pubmed:pagination |
449-53
|
| pubmed:dateRevised |
2006-11-15
|
| pubmed:meshHeading |
pubmed-meshheading:16113772-Algorithms,
pubmed-meshheading:16113772-Analysis of Variance,
pubmed-meshheading:16113772-Gene Expression Profiling,
pubmed-meshheading:16113772-Genetic Research,
pubmed-meshheading:16113772-Mathematical Computing,
pubmed-meshheading:16113772-Oligonucleotide Array Sequence Analysis,
pubmed-meshheading:16113772-Signal Transduction,
pubmed-meshheading:16113772-Tumor Markers, Biological
|
| pubmed:year |
2005
|
| pubmed:articleTitle |
Testing differential gene expression in functional groups. Goeman's global test versus an ANCOVA approach.
|
| pubmed:affiliation |
IBE, Biometry and Bioinformatics, University of Munich, Munich, Germany. mansmann@ibe.med.uni-muenchen.de
|
| pubmed:publicationType |
Journal Article,
Comparative Study,
Research Support, Non-U.S. Gov't
|