An automated procedure to identify biomedical articles that contain cancer-associated gene variants

Human Mutation

Volumn 27, Issue 9, 2006, Pages 957-964

  McDonald, Ryan ^a   Winters, R Scott ^b   Ankuda, Claire K ^c   Murphy, Joan A ^c   Rogers, Amy E ^c   Pereira, Fernando ^a   Greenblatt, Marc S ^c   White, Peter S ^b,d  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b CHILDREN S HOSPITAL OF PHILADELPHIA   (United States)

^c UNIVERSITY OF VERMONT COLLEGE OF MEDICINE   (United States)

^d UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Bioinformatics; CDKN2A; Conditional random fields; Database; Genomics; p16; Relevance ranking; Text mining

Indexed keywords

CYCLIN DEPENDENT KINASE 2; CYCLIN DEPENDENT KINASE 2A; PROTEIN P16; UNCLASSIFIED DRUG;

ACCURACY; ARTICLE; AUTOMATION; CANCER GENETICS; DATA BASE; FEASIBILITY STUDY; GENE MUTATION; GENE TARGETING; GENETIC VARIABILITY; MEDICAL INFORMATION; MEDICAL LITERATURE; PRIORITY JOURNAL;

COMPUTATIONAL BIOLOGY; DATABASES, GENETIC; GENES, NEOPLASM; GENES, P16; INFORMATION STORAGE AND RETRIEVAL; MEDLINE; MUTATION; NEOPLASMS; PERIODICALS;

EID: 33748376061     PISSN: 10597794     EISSN: None     Source Type: Journal    
DOI: 10.1002/humu.20363     Document Type: Article

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