Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
16
pubmed:dateCreated
2004-11-1
pubmed:abstractText
Statistical methods based on controlling the false discovery rate (FDR) or positive false discovery rate (pFDR) are now well established in identifying differentially expressed genes in DNA microarray. Several authors have recently raised the important issue that FDR or pFDR may give misleading inference when specific genes are of interest because they average the genes under consideration with genes that show stronger evidence for differential expression. The paper proposes a flexible and robust mixture model for estimating the local FDR which quantifies how plausible each specific gene expresses differentially.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Nov
pubmed:issn
1367-4803
pubmed:author
pubmed:issnType
Print
pubmed:day
1
pubmed:volume
20
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
2694-701
pubmed:dateRevised
2009-11-19
pubmed:meshHeading
pubmed-meshheading:15145810-Algorithms, pubmed-meshheading:15145810-Artifacts, pubmed-meshheading:15145810-Computer Simulation, pubmed-meshheading:15145810-False Positive Reactions, pubmed-meshheading:15145810-Female, pubmed-meshheading:15145810-Gene Expression Profiling, pubmed-meshheading:15145810-Gene Expression Regulation, Neoplastic, pubmed-meshheading:15145810-Genetic Testing, pubmed-meshheading:15145810-Humans, pubmed-meshheading:15145810-Models, Genetic, pubmed-meshheading:15145810-Models, Statistical, pubmed-meshheading:15145810-Oligonucleotide Array Sequence Analysis, pubmed-meshheading:15145810-Reproducibility of Results, pubmed-meshheading:15145810-Sensitivity and Specificity, pubmed-meshheading:15145810-Stochastic Processes, pubmed-meshheading:15145810-Uterine Cervical Neoplasms
pubmed:year
2004
pubmed:articleTitle
A mixture model for estimating the local false discovery rate in DNA microarray analysis.
pubmed:affiliation
Biometrics Division, School of Public Health and The Cancer Institute of New Jersey, University of Medicine and Dentistry of New Jersey, 683 Hoes Lane West, Piscataway, NJ 08854, USA. liaojg@umdnj.edu
pubmed:publicationType
Journal Article, Clinical Trial, Comparative Study, Research Support, U.S. Gov't, P.H.S., Controlled Clinical Trial, Validation Studies