An ensemble method with hybrid features to identify extracellular matrix proteins

PLoS ONE

Volumn 10, Issue 2, 2015, Pages

  Yang, Runtao ^a   Zhang, Chengjin ^a,b   Gao, Rui ^a   Zhang, Lina ^a  

^a SHANDONG UNIVERSITY   (China)

^b SHANDONG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

SCLEROPROTEIN;

ANALYTICAL PARAMETERS; ARTICLE; CLIENT SERVER APPLICATION; CONTROLLED STUDY; DRUG TARGETING; INCREMENTAL FEATURE SELECTION; INFORMATION GAIN RATIO; INTERNET; MACHINE LEARNING; MOLECULAR EVOLUTION; PHYSICAL CHEMISTRY; PREDICTION; PROTEIN ANALYSIS; PROTEIN STRUCTURE; RANDOM FOREST; SEQUENCE ANALYSIS; VALIDATION PROCESS; ALGORITHM; BIOLOGY; INFORMATION PROCESSING; METABOLISM; PROCEDURES; REPRODUCIBILITY; SUPPORT VECTOR MACHINE; WEB BROWSER; WORKFLOW;

ALGORITHMS; COMPUTATIONAL BIOLOGY; DATASETS AS TOPIC; EXTRACELLULAR MATRIX PROTEINS; REPRODUCIBILITY OF RESULTS; SUPPORT VECTOR MACHINE; WEB BROWSER; WORKFLOW;

EID: 84923033977     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0117804     Document Type: Article

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