D3GRN: a data driven dynamic network construction method to infer gene regulatory networks

D3GRN: a data driven dynamic network construction method to infer gene regulatory networks

Abstract Background To infer gene regulatory networks (GRNs) from gene-expression data is still a fundamental and challenging problem in systems biology. Several existing algorithms formulate GRNs inference as a regression problem and obtain the network with an ensemble strategy. Recent studies on d...

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Bibliographic Details
Main Authors: Xiang Chen, Min Li, Ruiqing Zheng, Fang-Xiang Wu, Jianxin Wang
Format: Article
Language:English
Published: BMC 2019-12-01
Series:BMC Genomics
Subjects:
Gene regulatory network
Dynamic network construction
Regression
DREAM challenge
Online Access:https://doi.org/10.1186/s12864-019-6298-5

Internet

https://doi.org/10.1186/s12864-019-6298-5

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