Bayesian semi-supervised classification of bacterial samples using MLST databases

BMC Bioinformatics

Volumn 12, Issue , 2011, Pages

  Cheng, Lu ^a   Connor, Thomas R ^c   Aanensen, David M ^b   Spratt, Brian G ^b   Corander, Jukka ^a  

^a UNIVERSITY OF HELSINKI   (Finland)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

^c WELLCOME TRUST SANGER INSTITUTE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ANTIBIOTIC RESISTANCE; BACTERIAL ISOLATES; MOLECULAR SIMILARITY; MOLECULAR VARIATION; PATHOGEN POPULATIONS; PROBABILISTIC QUANTIFICATION; SEMI-SUPERVISED CLASSIFICATION; STAPHYLOCOCCUS AUREUS;

BACTERIA; BAYESIAN NETWORKS; BIOLOGY; COMPUTER OPERATING SYSTEMS; IMPORTANCE SAMPLING; METADATA; QUERY PROCESSING; SUPERVISED LEARNING; TOOLS; UNCERTAINTY ANALYSIS;

PATHOGENS;

ANIMALIA; BACTERIA (MICROORGANISMS); STAPHYLOCOCCUS AUREUS;

ALGORITHM; ARTICLE; BACTERIUM; BAYES THEOREM; CLASSIFICATION; COMPUTER PROGRAM; GENETIC DATABASE; GENETICS; HUMAN; MULTILOCUS SEQUENCE TYPING;

ALGORITHMS; BACTERIA; BAYES THEOREM; DATABASES, GENETIC; HUMANS; MULTILOCUS SEQUENCE TYPING; SOFTWARE;

EID: 79960667149     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-12-302     Document Type: Article

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