Using approximate bayesian computation to estimate tuberculosis transmission parameters from genotype data

Genetics

Volumn 173, Issue 3, 2006, Pages 1511-1520

  Tanaka, Mark M ^a   Francis, Andrew R ^b   Luciani, Fabio ^a   Sisson, S A ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b UNIVERSITY OF WESTERN SYDNEY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

MOLECULAR MARKER;

ARTICLE; BAYES THEOREM; DISEASE TRANSMISSION; EPIDEMIC; GENE MUTATION; GENOTYPE; IS6110 GENE; MARKER GENE; MATHEMATICAL GENETICS; PRIORITY JOURNAL; PUBLICATION; STOCHASTIC MODEL; TUBERCULOSIS; UNITED STATES;

ALGORITHMS; BAYES THEOREM; COMPUTATIONAL BIOLOGY; GENETIC MARKERS; GENOTYPE; HUMANS; MUTATION; RISK FACTORS; SAN FRANCISCO; TUBERCULOSIS;

MYCOBACTERIUM TUBERCULOSIS;

EID: 33746419713     PISSN: 00166731     EISSN: 00166731     Source Type: Journal    
DOI: 10.1534/genetics.106.055574     Document Type: Article

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