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Statistical Inference and Reverse Engineering of Gene Regulatory Networks from Observational Expression Data

In this paper, we present a systematic and conceptual overview of methods for inferring gene regulatory networks from observational gene expression data. Further, we discuss two classic approaches to infer causal structures and compare them with contemporary methods by providing a conceptual categor...

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Библиографические подробности
Главные авторы: Emmert-Streib, Frank, Glazko, Galina V., Altay, Gökmen, de Matos Simoes, Ricardo
Формат: Artigo
Язык:Inglês
Опубликовано: Frontiers Research Foundation 2012
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Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC3271232/
https://ncbi.nlm.nih.gov/pubmed/22408642
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fgene.2012.00008
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