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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Detalles Bibliográficos
Autores principales: Emmert-Streib, Frank, Glazko, Galina V., Altay, Gökmen, de Matos Simoes, Ricardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2012
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3271232/
https://www.ncbi.nlm.nih.gov/pubmed/22408642
http://dx.doi.org/10.3389/fgene.2012.00008

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3271232/
https://www.ncbi.nlm.nih.gov/pubmed/22408642
http://dx.doi.org/10.3389/fgene.2012.00008

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