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Integration of Multiple Data Sources for Gene Network Inference Using Genetic Perturbation Data

The inference of gene networks from large-scale human genomic data is challenging due to the difficulty in identifying correct regulators for each gene in a high-dimensional search space. We present a Bayesian approach integrating external data sources with knockdown data from human cell lines to in...

詳細記述

保存先:
書誌詳細
出版年:J Comput Biol
主要な著者: Liang, Xiao, Young, William Chad, Hung, Ling-Hong, Raftery, Adrian E., Yeung, Ka Yee
フォーマット: Artigo
言語:Inglês
出版事項: Mary Ann Liebert, Inc., publishers 2019
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC6786343/
https://ncbi.nlm.nih.gov/pubmed/31009236
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1089/cmb.2019.0036
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