A Bayesian semiparametric approach for the differential analysis of sequence counts data

Journal of the Royal Statistical Society. Series C: Applied Statistics

Volumn 63, Issue 3, 2014, Pages 385-404

  Guindani, Michele ^a   Sepúlveda, Nuno ^b,c   Paulino, Carlos Daniel ^c,d   Müller, Peter ^e  

^a UNIVERSITY OF TEXAS MD ANDERSON CANCER CENTER   (United States)

^b LONDON SCHOOL OF HYGIENE AND TROPICAL MEDICINE   (United Kingdom)

^c UNIVERSITY OF LISBON   (Portugal)

^d INSTITUTO SUPERIOR TÉCNICO   (Portugal)

^e UNIVERSITY OF TEXAS AT AUSTIN   (United States)

Author keywords

Bayesian non parametrics; Differential abundance; Sequence counts data; T cell repertoire

Indexed keywords

EID: 84897601214     PISSN: 00359254     EISSN: 14679876     Source Type: Journal    
DOI: 10.1111/rssc.12041     Document Type: Article

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