Gene Selection Integrated with Biological Knowledge for Plant Stress Response Using Neighborhood System and Rough Set Theory

Mining knowledge from gene expression data is a hot research topic and direction of bioinformatics. Gene selection and sample classification are significant research trends, due to the large amount of genes and small size of samples in gene expression data. Rough set theory has been successfully app...

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Veröffentlicht in:	IEEE/ACM transactions on computational biology and bioinformatics 2015-03, Vol.12 (2), p.433-444
Hauptverfasser:	Meng, Jun, Zhang, Jing, Luan, Yushi
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Arabidopsis - genetics Arabidopsis - metabolism Arabidopsis - physiology Bioinformatics Biological biological knowledge Classification Classification algorithms Computational Biology - methods Data mining Gene expression gene expression data Gene Expression Profiling - methods Gene Expression Regulation, Plant - genetics gene selection Genes neighborhood system Plant Proteins - genetics Plant Proteins - metabolism Plant stress Redundancy Rough set Set theory Stress, Physiological - genetics
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