Topic modeling for cluster analysis of large biological and medical datasets

BMC Bioinformatics

Volumn 15, Issue 11, 2014, Pages

  Zhao, Weizhong ^a,b   Zou, Wen ^a   Chen, James J ^a  

^a NATIONAL CENTER FOR TOXICOLOGICAL RESEARCH   (United States)

^b XIANGTAN UNIVERSITY   (China)

Author keywords

Cluster analysis; Data mining; Large biological and biomedical datasets; Topic modeling

Indexed keywords

ARTIFICIAL INTELLIGENCE; BIG DATA; BIOMEDICAL SIGNAL PROCESSING; CLUSTER ANALYSIS; CLUSTERING ALGORITHMS; DISEASES; ELECTROPHORESIS; EXTRACTION; FEATURE EXTRACTION; LEARNING SYSTEMS;

BIOLOGICAL INTERPRETATION; CLUSTER ANALYSIS METHODS; HIGH DIMENSIONALITY; LARGE BIOLOGICAL AND BIOMEDICAL DATASETS; MULTIVARIATE TECHNIQUES; PULSED FIELD GEL ELECTROPHORESIS; TOPIC MODELING; TRADITIONAL CLUSTERING;

DATA MINING;

ALGORITHM; BREAST TUMOR; CLASSIFICATION; CLUSTER ANALYSIS; DATA MINING; FEMALE; HUMAN; ISOLATION AND PURIFICATION; LUNG TUMOR; MORTALITY; PROCEDURES; PULSED FIELD GEL ELECTROPHORESIS; SALMONELLA; STATISTICAL MODEL; SURVIVAL ANALYSIS;

ALGORITHMS; BREAST NEOPLASMS; CLUSTER ANALYSIS; DATA MINING; ELECTROPHORESIS, GEL, PULSED-FIELD; FEMALE; HUMANS; LUNG NEOPLASMS; MODELS, STATISTICAL; SALMONELLA; SURVIVAL ANALYSIS;

EID: 84961589247     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-15-S11-S11     Document Type: Article

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