Integrative random forest for gene regulatory network inference
نویسندگان
چکیده
منابع مشابه
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 diverse types is expected to increase both the power and accuracy of GRN inference. Towards this goal,...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2015
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/btv268