Inference of gene regulatory networks incorporating multi-source biological knowledge via a state space model with L1 regularization.

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...

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Bibliographic Details
Main Authors: Takanori Hasegawa, Rui Yamaguchi, Masao Nagasaki, Satoru Miyano, Seiya Imoto
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4146587?pdf=render

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