article Open AccessTop 10% cited
Regularized gene selection in cancer microarray meta-analysis
BMC Bioinformatics · 2009 · Vol. 10(1) · pp. 1–1
Shuangge Ma✉(Yale University)Jian Huang(University of Iowa)
Abstract
The MTGDR provides an effective way of analyzing multiple cancer microarray studies and selecting reliable cancer-associated genes.
Gene expression and cancer classificationBioinformatics and Genomic NetworksMolecular Biology Techniques and ApplicationsDNA microarrayMicroarray analysis techniquesMeta-analysisSelection (genetic algorithm)Computational biologyPancreatic cancerCancerGene selectionMicroarrayComputer science
MeSH terms
AlgorithmsBayes TheoremComputer SimulationFemaleHumansLiver NeoplasmsMaleNeoplasmsPancreatic NeoplasmsBiomarkers, TumorGene Expression Regulation, NeoplasticCluster AnalysisComputational BiologyOligonucleotide Array Sequence AnalysisGene Expression Profiling
Funding
- Yale University
- Georgia Clinical and Translational Science Alliance
- National Institutes of Health
Citations
835
FWCI
4.84
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References
33
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96%
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