Feature selection in gene expression data using principal component analysis and rough set theory

Advances in Experimental Medicine and Biology

Volumn 696, Issue , 2011, Pages 91-100

  Mishra, Debahuti ^a   Dash, Rajashree ^a   Rath, Amiya Kumar ^a   Acharya, Milu ^a  

^a NONE

Author keywords

Data preprocessing; Feature selection; Lower approximation; Principal component analysis; Rough sets; Upper approximation

Indexed keywords

CONFERENCE PAPER; DATA MINING; GENE EXPRESSION PROFILING; INFORMATION PROCESSING; MACHINE LEARNING; MATHEMATICAL COMPUTING; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; ROUGH SET; SIGNAL PROCESSING; VARIANCE; ALGORITHM; ARTICLE; BIOLOGY; BREAST TUMOR; FEMALE; FINITE ELEMENT ANALYSIS; GENETIC DATABASE; GENETICS; HUMAN; METHODOLOGY; SACCHAROMYCES CEREVISIAE; STATISTICAL MODEL; STATISTICS;

ALGORITHMS; BREAST NEOPLASMS; COMPUTATIONAL BIOLOGY; DATA MINING; DATABASES, GENETIC; FEMALE; FINITE ELEMENT ANALYSIS; GENE EXPRESSION PROFILING; HUMANS; MODELS, STATISTICAL; PRINCIPAL COMPONENT ANALYSIS; SACCHAROMYCES CEREVISIAE;

EID: 79958017379     PISSN: 00652598     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-1-4419-7046-6_10     Document Type: Conference Paper

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