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Article

Intervention in gene regulatory networks via phenotypically constrained control policies based on long-run behavior.

IEEE/ACM transactions on computational biology and bioinformatics - 1 Jan 2000

Qian Xiaoning, Dougherty Edward R

Abstract excerpt

A salient purpose for studying gene regulatory networks is to derive intervention strategies to identify potential drug targets and design gene-based therapeutic intervention. Optimal and approximate intervention strategies based on the transition probability matrix of the underlying Markov chain have been studied extensively for probabilistic Boolean networks. While the key goal of control is to reduce the...

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PMID: 21788674
DOI: 10.1109/TCBB.2011.107

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026. Manifest publication-graph-cohort-2026-09-05.1.

Source receipt: pubmed, retrieved 5 Sept 2026.

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