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Volumn 7, Issue SUPPL.3, 2006, Pages
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Automatic recognition of topic-classified relations between prostate cancer and genes using MEDLINE abstracts
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Author keywords
[No Author keywords available]
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Indexed keywords
AUTOMATIC RECOGNITION;
CORPUS-BASED APPROACHES;
MACHINE LEARNING TECHNIQUES;
MANUAL ANNOTATION;
NAMED ENTITIES;
NAMED ENTITY RECOGNITION;
PROSTATE CANCERS;
RECOGNITION SYSTEMS;
ABSTRACTING;
BIOINFORMATICS;
GENES;
LEARNING SYSTEMS;
MAXIMUM ENTROPY METHODS;
DISEASES;
ABSTRACT REPORT;
ACCURACY;
ARTICLE;
AUTOMATION;
BIBLIOGRAPHIC DATABASE;
BIOINFORMATICS;
CANCER GENETICS;
DATA ANALYSIS;
ENTROPY;
EPIGENETICS;
GENE EXPRESSION PROFILING;
GENETIC ANALYSIS;
GENETIC VARIABILITY;
INFORMATION PROCESSING;
LINGUISTICS;
MACHINE LEARNING;
MEDICAL INFORMATION;
MEDLINE;
PROSTATE CANCER;
ALGORITHM;
ARTIFICIAL INTELLIGENCE;
CLASSIFICATION;
COMPUTER PROGRAM;
CONTROLLED VOCABULARY;
DOCUMENTATION;
FACTUAL DATABASE;
GENE;
GENETICS;
HUMAN;
INFORMATION RETRIEVAL;
MALE;
NATURAL LANGUAGE PROCESSING;
NOMENCLATURE;
PROCEDURES;
PROSTATE TUMOR;
PUBLICATION;
SEMANTICS;
TUMOR PROTEIN;
ABSTRACTING AND INDEXING AS TOPIC;
ALGORITHMS;
ARTIFICIAL INTELLIGENCE;
DATABASES, FACTUAL;
GENES;
HUMANS;
INFORMATION STORAGE AND RETRIEVAL;
MALE;
MEDLINE;
NATURAL LANGUAGE PROCESSING;
NEOPLASM PROTEINS;
PERIODICALS AS TOPIC;
PROSTATIC NEOPLASMS;
SEMANTICS;
SOFTWARE;
TERMINOLOGY AS TOPIC;
VOCABULARY, CONTROLLED;
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EID: 33947411421
PISSN: None
EISSN: 14712105
Source Type: Journal
DOI: 10.1186/1471-2105-7-S3-S4 Document Type: Article |
Times cited : (24)
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References (8)
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