A novel mutual information-based Boolean network inference method from time-series gene expression data

Shohag Barman; Yung‐Keun Kwon

doi:10.1371/journal.pone.0171097

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A novel mutual information-based Boolean network inference method from time-series gene expression data

Shohag Barman Yung‐Keun Kwon

Year: 2017 Journal: PLoS ONE Vol: 12 (2)Pages: e0171097-e0171097 Publisher: Public Library of Science

DOI: 10.1371/journal.pone.0171097

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Abstract

Taken together, MIBNI is a promising tool for predicting both the structure and the dynamics of a gene regulatory network.

Keywords:

Inference Gene regulatory network Boolean network Mutual information Computer science Scalability Data mining Computational biology Set (abstract data type) Network dynamics Gene Systems biology Series (stratigraphy) Artificial intelligence Biology Algorithm Gene expression Boolean function Mathematics Genetics

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Gene Regulatory Network Analysis

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Bioinformatics and Genomic Networks

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Microbial Metabolic Engineering and Bioproduction

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

A novel mutual information-based Boolean network inference method from time-series gene expression data

Abstract

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Citation History

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