Inference of transcriptional regulatory networks based on cancer microarray data

Xiaobo Zhou, Stephen T.C. Wong

Research output: Chapter in Book/Report/Conference proceedingChapter

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 languageEnglish (US)
Title of host publicationLife Science Data Mining
PublisherWorld Scientific Publishing Co.
Pages275-303
Number of pages29
ISBN (Electronic)9789812772664
DOIs
StatePublished - 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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