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Inference of Gene Regulatory Networks Incorporating Multi-Source Biological Knowledge via a State Space Model with L1 Regularization

Comprehensive understanding of gene regulatory networks (GRNs) is a major challenge in the field of systems biology. Currently, there are two main approaches in GRN analysis using time-course observation data, namely an ordinary differential equation (ODE)-based approach and a statistical model-base...

詳細記述

保存先:
書誌詳細
主要な著者: Hasegawa, Takanori, Yamaguchi, Rui, Nagasaki, Masao, Miyano, Satoru, Imoto, Seiya
フォーマット: Artigo
言語:Inglês
出版事項: Public Library of Science 2014
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC4146587/
https://ncbi.nlm.nih.gov/pubmed/25162401
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0105942
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