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Integrative random forest for gene regulatory network inference

Motivation: Gene regulatory network (GRN) inference based on genomic data is one of the most actively pursued computational biological problems. Because different types of biological data usually provide complementary information regarding the underlying GRN, a model that integrates big data of dive...

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書目詳細資料
發表在:Bioinformatics
Main Authors: Petralia, Francesca, Wang, Pei, Yang, Jialiang, Tu, Zhidong
格式: Artigo
語言:Inglês
出版: Oxford University Press 2015
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC4542785/
https://ncbi.nlm.nih.gov/pubmed/26072483
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btv268
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