Inference of transcriptional regulatory networks based on cancer microarray data

Xiaobo Zhou; Stephen T.C. Wong

doi:10.1142/9789812772664_0013

Inference of transcriptional regulatory networks based on cancer microarray data

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

Construction of transcriptional regulatory networks using microarray techniques is a prevalent method in cancer research. In this article, we reviewed the existing approaches of constructing gene regulatory subnetworks and then presented our own approaches based on a multinomial probit model and a Monte Carlo approach.

Original language	English (US)
Title of host publication	Life Science Data Mining
Publisher	World Scientific Publishing Co.
Pages	275-303
Number of pages	29
ISBN (Electronic)	9789812772664
DOIs	https://doi.org/10.1142/9789812772664_0013
State	Published - Jan 1 2006

ASJC Scopus subject areas

Agricultural and Biological Sciences(all)
Biochemistry, Genetics and Molecular Biology(all)
Medicine(all)
Computer Science(all)

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10.1142/9789812772664_0013

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abstract = "Construction of transcriptional regulatory networks using microarray techniques is a prevalent method in cancer research. In this article, we reviewed the existing approaches of constructing gene regulatory subnetworks and then presented our own approaches based on a multinomial probit model and a Monte Carlo approach.",

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Inference of transcriptional regulatory networks based on cancer microarray data

Abstract

ASJC Scopus subject areas

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