Co-clustering: A Versatile Tool for Data Analysis in Biomedical Informatics

  • Authors:
  • Sungroh Yoon;L. Benini;G. De Micheli

  • Affiliations:
  • Intel Corp., Santa Clara;-;-

  • Venue:
  • IEEE Transactions on Information Technology in Biomedicine
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

Co-clustering has not been much exploited in biomedical informatics, despite its success in other domains. Most of the previous applications were limited to analyzing gene expression data. We performed co-clustering analysis on other types of data and obtained promising results, as summarized in this paper.