Methods for causal inference from gene perturbation experiments and validation

Proceedings of the National Academy of Sciences of the United States of America

Volumn 113, Issue 27, 2016, Pages 7361-7368

  Meinshausen, Nicolai ^a   Hauser, Alain ^b   Mooij, Joris M ^c   Peters, Jonas ^d   Versteeg, Philip ^c   Bühlmann, Peter ^a  

^a ETH ZURICH   (Switzerland)

^b BERN UNIVERSITY OF APPLIED SCIENCES   (Switzerland)

^c UNIVERSITY OF AMSTERDAM   (Netherlands)

^d MAX PLANCK INSTITUTE FOR INTELLIGENT SYSTEMS   (Germany)

Author keywords

Genome database validation; Graphical models; Interventional observational data; Invariant causal prediction

Indexed keywords

ARTICLE; CAUSAL MODELING; COMPUTER PROGRAM; CONTROLLED STUDY; FUNGAL GENE; METHODOLOGY; NONHUMAN; PREDICTION; PRIORITY JOURNAL; PROBABILITY; SACCHAROMYCES CEREVISIAE; VALIDATION PROCESS; ALGORITHM; BIOLOGICAL MODEL; FLOW CYTOMETRY; GENE DELETION; SOFTWARE; STATISTICS; VALIDATION STUDY;

ALGORITHMS; FLOW CYTOMETRY; GENE DELETION; MODELS, GENETIC; SACCHAROMYCES CEREVISIAE; SOFTWARE; STATISTICS AS TOPIC;

EID: 84977279048     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1510493113     Document Type: Article

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