Boolean function networks

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

Boolean function networks

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

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研究成果: Chapter › 同行評審

摘要

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.

原文	English
主出版物標題	Boolean Logic, Expressions and Theories
主出版物子標題	An Overview
發行者	Nova Science Publishers, Inc.
頁面	1-19
頁數	19
ISBN（電子）	9781536170313
出版狀態	Published - 1 1月 2020

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Boolean function networks

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