Exploiting the functional and taxonomic structure of genomic data by probabilistic topic modeling

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Volumn 9, Issue 4, 2012, Pages 980-991

  Chen, Xin ^a   Hu, Xiaohua ^a   Lim, Tze Yee ^b   Shen, Xiajiong ^c   Park, E K ^d   Rosen, Gail L ^e  

^a Drexel University   (United States)

^b DREXEL UNIVERSITY   (United States)

^c HENAN UNIVERSITY   (China)

^d CALIFORNIA STATE UNIVERSITY   (United States)

^e Drexel University   (United States)

Author keywords

bioinformatics (genome or protein) databases; Data mining; language models; metagenomics

Indexed keywords

BIOINFORMATICS (GENOME OR PROTEIN) DATABASE; FUNCTIONAL PATTERN; GENETIC PATTERNS; GENOMIC DATA; LANGUAGE MODEL; LATENT FUNCTION; METAGENOMICS; MUTUAL INFORMATIONS; TAXONOMIC STRUCTURE; TOPIC MODEL; UNLABELED DATA;

BIOINFORMATICS; COMPUTATIONAL LINGUISTICS; DATA MINING; MIXTURES;

GENES;

ARTICLE; BACTERIAL GENOME; BACTERIUM; BIOLOGICAL MODEL; BIOLOGY; DATA MINING; ENTERITIS; GASTROINTESTINAL TRACT; GENETIC DATABASE; GENETICS; HUMAN; METAGENOMICS; METHODOLOGY; MICROBIOLOGY; STATISTICAL MODEL;

BACTERIA; COMPUTATIONAL BIOLOGY; DATA MINING; DATABASES, GENETIC; GASTROINTESTINAL TRACT; GENOME, BACTERIAL; HUMANS; INFLAMMATORY BOWEL DISEASES; METAGENOMICS; MODELS, GENETIC; MODELS, STATISTICAL;

EID: 84861501825     PISSN: 15455963     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCBB.2011.113     Document Type: Article

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