Boolean function networks

Maria Simak, Henry Horng Shing Lu*, Chen Hsiang Yeang, Jinn Moon Yang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Boolean function network (BFN) is a systematical approach proposed to the inference of gene regulatory networks (GRNs) and the related Boolean functions. This procedure utilizes two steps to integrate hidden Markov model (HMM), likelihood ratio test and Boolean functions for discovering direct pairwise relations between genes from time-course transcriptome data. The low computational complexity of BFN makes it advantageous for the applications on the genomewide scale. In this chapter we justify the need for novel approach and describe the inference procedure.

Original languageEnglish
Title of host publicationBoolean Logic, Expressions and Theories
Subtitle of host publicationAn Overview
PublisherNova Science Publishers, Inc.
Pages1-19
Number of pages19
ISBN (Electronic)9781536170313
StatePublished - 1 Jan 2020

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