Text as data: Using text-based features for proteins representation and for computational prediction of their characteristics

Methods

Volumn 74, Issue , 2015, Pages 54-64

  Shatkay, Hagit ^a,b,e   Brady, Scott ^c,e   Wong, Andrew ^d,e  

^a University of Delaware   (United States)

^b UNIVERSITY OF DELAWARE   (United States)

^c UNIVERSITY OF TORONTO   (Canada)

^d MOUNT SINAI HOSPITAL   (Canada)

^e QUEEN S UNIVERSITY   (Canada)

Author keywords

Biomedical text mining; Machine learning; Protein annotation; Protein function prediction; Protein location prediction; Protein representation; Protein subcellular location; Text classification; Text mining

Indexed keywords

PROTEIN;

AMINO ACID SEQUENCE; ARTICLE; COMPUTER PREDICTION; HUMAN; MACHINE LEARNING; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN FUNCTION; PROTEIN PROTEIN INTERACTION; SCIENTIFIC LITERATURE; SUPPORT VECTOR MACHINE; TRAINING; ANIMAL; BIOLOGY; DATA MINING; GENETICS; PROCEDURES; PROTEIN DATABASE; TRENDS;

ANIMALS; COMPUTATIONAL BIOLOGY; DATA MINING; DATABASES, PROTEIN; HUMANS; PROTEINS;

EID: 84923873719     PISSN: 10462023     EISSN: 10959130     Source Type: Journal    
DOI: 10.1016/j.ymeth.2014.10.027     Document Type: Article

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