A time series driven decomposed evolutionary optimization approach for reconstructing large-scale gene regulatory networks based on fuzzy cognitive maps

A time series driven decomposed evolutionary optimization approach for reconstructing large-scale gene regulatory networks based on fuzzy cognitive maps

Abstract Background Reconstructing gene regulatory networks (GRNs) from expression data plays an important role in understanding the fundamental cellular processes and revealing the underlying relations among genes. Although many algorithms have been proposed to reconstruct GRNs, more rapid and effi...

Full description

Bibliographic Details
Main Authors: Jing Liu, Yaxiong Chi, Chen Zhu, Yaochu Jin
Format: Article
Language:English
Published: BMC 2017-05-01
Series:BMC Bioinformatics
Subjects:
Gene regulatory networks
Fuzzy cognitive maps
Big data
Big optimization
Multi-agent genetic algorithm
Decomposition
Online Access:http://link.springer.com/article/10.1186/s12859-017-1657-1

Internet

http://link.springer.com/article/10.1186/s12859-017-1657-1

Similar Items