An Efficient Boolean Modelling Approach for Genetic Network Inference

2021 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)(2021)

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摘要
The inference of Gene Regulatory Networks (GRNs) from time series gene expression data is an effective approach for unveiling important underlying gene-gene relationships and dynamics. While various computational models exist for accurate inference of GRNs, many are computationally inefficient, and do not focus on simultaneous inference of both network topology and dynamics. In this paper, we intr...
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关键词
Correlation coefficient,Computational modeling,Biological system modeling,Search methods,Time series analysis,Reverse engineering,Regulation
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