Inferring context-sensitive probablistic boolean networks from gene expression data under multi-biological conditions

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Yu, Le and Marshall, Stephen (2007) Inferring context-sensitive probablistic boolean networks from gene expression data under multi-biological conditions. BMC Systems Biology, 1 (Suppl ). p. 63. ISSN 1752-0509 (https://doi.org/10.1186/1752-0509-1-S1-P63)

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Abstract

In recent years biological microarrays have emerged as a high-throughput data acquisition technology in bioinformatics. In conjunction with this, there is an increasing need to develop frameworks for the formal analysis of biological pathways. A modeling approach defined as Probabilistic Boolean Networks (PBNs) was proposed for inferring genetic regulatory networks [1]. This technology, an extension of Boolean Networks [2], is able to capture the time-varying dependencies with deterministic probabilities for a series of sets of predictor functions.

ORCID iDs

Yu, Le and Marshall, Stephen ORCID logoORCID: https://orcid.org/0000-0001-7079-5628;
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