BiVisu: Software tool for bicluster detection and visualization

K. O. Cheng, Ngai Fong Law, W. C. Siu, T. H. Lau

Research output: Journal article publicationJournal articleAcademic researchpeer-review

53 Citations (Scopus)


Summary: BiVisu is an open-source software tool for detecting and visualizing biclusters embedded in a gene expression matrix. Through the use of appropriate coherence relations, BiVisu can detect constant, constant-row, constant-column, additive-related as well as multiplicative-related biclusters. The biclustering results are then visualized under a 2D setting for easy inspection. In particular, parallel coordinate (PC) plots for each bicluster are displayed, from which objective and subjective cluster quality evaluation can be performed.
Original languageEnglish
Pages (from-to)2342-2344
Number of pages3
Issue number17
Publication statusPublished - 1 Sept 2007

ASJC Scopus subject areas

  • Statistics and Probability
  • Medicine(all)
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics


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