Feature selection methods for big data bioinformatics: A survey from the search perspective

Methods

Volumn 111, Issue , 2016, Pages 21-31

  Wang, Lipo ^a   Wang, Yaoli ^b   Chang, Qing ^b  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b TAIYUAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Biomarkers; Classification; Clustering; Computational biology; Computational intelligence; Data mining; Evolutionary algorithms; Evolutionary computation; Fuzzy logic; Genetic algorithms; Machine learning; Microarray; Neural networks; Particle swarm optimization; Pattern recognition; Random forests; Rough sets; Soft computing; Support vector machines; Swarm intelligence

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BIOINFORMATICS; CLASS INFORMATION BASED SPARSE COMPONENT ANALYSIS; CLUSTER ORIENTED ENSEMBLE CLASSIFIER; COMPARATIVE GENOMIC HYBRIDIZATION; FEATURE SELECTION METHOD; FUZZY SYSTEM; GENE REGULATORY NETWORK; GENETIC ALGORITHM; INFORMATION PROCESSING; LEAVE ONE OUT CROSS VALIDATION METHOD; LINEAR DISCRIMINANT ANALYSIS; MACHINE LEARNING; METHODOLOGY; MICROARRAY ANALYSIS; MULTI OBJECTIVE BINARY BIOGEOGRAPHY BASED BIOGEOGRAPHY; PRIORITY JOURNAL; PROCESS OPTIMIZATION; QUANTITATIVE STRUCTURE ACTIVITY RELATION; RADIAL BASIS FUNCTION; RADIAL BASIS KERNEL RIDGE REGRESSION; RANDOM FOREST; RANDOM VECTOR FUNCTIONAL LINK; REVIEW; ROBUST PRINCIPAL COMPONENT ANALYSIS; SUPPORT FEATURE MACHINE; SUPPORT VECTOR MACHINE; WAVELET KERNEL RIDGE REGRESSION; ALGORITHM; ARTIFICIAL INTELLIGENCE; BIOLOGY; DATA MINING; HUMAN; PROCEDURES; SOFTWARE; TRENDS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTATIONAL BIOLOGY; DATA MINING; HUMANS; SOFTWARE;

EID: 84995537924     PISSN: 10462023     EISSN: 10959130     Source Type: Journal    
DOI: 10.1016/j.ymeth.2016.08.014     Document Type: Review

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