Robust Significance Analysis of Microarrays by Minimum β-Divergence Method

Identification of differentially expressed (DE) genes with two or more conditions is an important task for discovery of few biomarker genes. Significance Analysis of Microarrays (SAM) is a popular statistical approach for identification of DE genes for both small- and large-sample cases. However, it...

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Veröffentlicht in:	BioMed research international 2017-01, Vol.2017 (2017), p.1-18
Hauptverfasser:	Mollah, Md. Nurul Haque, Ara Begum, Anjuman, Ahmed, Md. Shakil, Mollah, Md. Manir Hossain, Kumar, Nishith, Shahjaman, Md, Shahinul Islam, S. M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Bioinformatics Biomarkers Biometry Breast cancer Data analysis Divergence DNA microarrays Gene expression Gene Expression Profiling - statistics & numerical data Gene Expression Regulation - genetics Genes Hypotheses Maximum likelihood estimators Methods Microarray Analysis - statistics & numerical data Neural networks Oligonucleotide Array Sequence Analysis - statistics & numerical data Outliers (statistics) Parameter estimation Researchers Sample variance Statistical methods Statistics Variance analysis
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