Multiple Linear Regression for Reconstruction of Gene Regulatory Networks in Solving Cascade Error Problems

Gene regulatory network (GRN) reconstruction is the process of identifying regulatory gene interactions from experimental data through computational analysis. One of the main reasons for the reduced performance of previous GRN methods had been inaccurate prediction of cascade motifs. Cascade error i...

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Detalles Bibliográficos
Autores principales: Salleh, Faridah Hani Mohamed, Zainudin, Suhaila, Arif, Shereena M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5303608/
https://www.ncbi.nlm.nih.gov/pubmed/28250767
http://dx.doi.org/10.1155/2017/4827171

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5303608/
https://www.ncbi.nlm.nih.gov/pubmed/28250767
http://dx.doi.org/10.1155/2017/4827171

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