Computational Regulomics: Information Theoretic Approaches toward Regulatory Network Inference

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Abstract

A genetic regulatory network, at an abstract level, can be conceptualized as a network of interconnected genes/transcription factors that respond to internal and external conditions by altering the relevant connections within the network [1]; here, a connection represents the regulation of a gene by another gene/protein.

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Chaitankar, V., Barh, D., Azevedo, V., & Ghosh, P. (2013). Computational Regulomics: Information Theoretic Approaches toward Regulatory Network Inference. In OMICS: Applications in Biomedical, Agricultural, and Environmental Sciences (pp. 225–244). CRC Press. https://doi.org/10.1201/b14289-14

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