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Methods for causal inference from gene perturbation experiments and validation

Inferring causal effects from observational and interventional data is a highly desirable but ambitious goal. Many of the computational and statistical methods are plagued by fundamental identifiability issues, instability, and unreliable performance, especially for large-scale systems with many mea...

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Detalhes bibliográficos
Publicado no:Proc Natl Acad Sci U S A
Main Authors: Meinshausen, Nicolai, Hauser, Alain, Mooij, Joris M., Peters, Jonas, Versteeg, Philip, Bühlmann, Peter
Formato: Artigo
Idioma:Inglês
Publicado em: National Academy of Sciences 2016
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4941490/
https://ncbi.nlm.nih.gov/pubmed/27382150
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1510493113
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