Boolean function networks

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

*Corresponding author for this work

研究成果: Chapter同行評審


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.

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.
出版狀態Published - 1 一月 2020

指紋 深入研究「Boolean function networks」主題。共同形成了獨特的指紋。