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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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| Vydáno v: | Proc Natl Acad Sci U S A |
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| Hlavní autoři: | , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
National Academy of Sciences
2016
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| Témata: | |
| On-line přístup: | 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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