RLIMS-P 2.0: A generalizable rule-based information extraction system for literature mining of protein phosphorylation information

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Volumn 12, Issue 1, 2015, Pages 17-29

  Torii, Manabu ^a   Arighi, Cecilia N ^b   Li, Gang ^b   Wang, Qinghua ^b   Wu, Cathy H ^b   Vijay Shanker, K ^c  

^a Medical Informatics Group   (United States)

^b UNIVERSITY OF DELAWARE   (United States)

^c University of Delaware   (United States)

Author keywords

Biology and genetics; Context Analysis and Indexing; Natural Language Processing; Text mining

Indexed keywords

ABSTRACTING; COMPUTATIONAL LINGUISTICS; ENZYMES; INDEXING (MATERIALS WORKING); INFORMATION ANALYSIS; INFORMATION RETRIEVAL; INFORMATION RETRIEVAL SYSTEMS; LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS; PHOSPHORYLATION; SOCIAL NETWORKING (ONLINE); SUBSTRATES; TEXT PROCESSING;

BIOLOGY AND GENETICS; CONTEXT ANALYSIS; INFORMATION EXTRACTION SYSTEMS; NATURAL LANGUAGE PROCESSING; POST-TRANSLATIONAL MODIFICATIONS; PROTEIN PHOSPHORYLATION; SCIENTIFIC LITERATURE; TEXT MINING;

DATA MINING;

PHOSPHOPROTEIN;

BIOLOGY; CHEMISTRY; CLASSIFICATION; DATA MINING; NATURAL LANGUAGE PROCESSING; PHOSPHORYLATION; PROCEDURES; PROTEIN DATABASE; SOFTWARE;

COMPUTATIONAL BIOLOGY; DATA MINING; DATABASES, PROTEIN; NATURAL LANGUAGE PROCESSING; PHOSPHOPROTEINS; PHOSPHORYLATION; SOFTWARE;

EID: 84923261419     PISSN: 15455963     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCBB.2014.2372765     Document Type: Article

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