EBIC: an evolutionary-based parallel biclustering algorithm for pattern discovery.

Journal: Bioinformatics (Oxford, England)
Published Date:

Abstract

MOTIVATION: Biclustering algorithms are commonly used for gene expression data analysis. However, accurate identification of meaningful structures is very challenging and state-of-the-art methods are incapable of discovering with high accuracy different patterns of high biological relevance.

Authors

  • Patryk Orzechowski
  • Moshe Sipper
    Department of Computer Science, Ben-Gurion University, Beer Sheva, Israel.
  • Xiuzhen Huang
    Department of Computer Science, Arkansas State University, Jonesboro, AR, USA.
  • Jason H Moore
    University of Pennsylvania, Philadelphia, PA, USA.