RN-Cluster: Discovering coherent biclusters which is Robust to Noise

Jaegyoon Ahn, Youngmi Yoon, Sanghyun Park

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A bicluster is a subset of genes that show similar behavior within a subset of conditions. Biclustering algorithm is a useful tool to uncover groups of genes involved in the same cellular process and groups of conditions which take place in this process. We are proposing a polynomial time algorithm to identify functionally highly correlated biclusters. Our algorithm identifies 1) the gene set that follows additive, multiplicative, and combined patterns simultaneously that allow high level of noise, 2) the multiple, possibly overlapped, and diverse gene sets, 3) biclusters with negatively correlated as well as positively correlated gene set simultaneously, and 4) gene sets whose functional association is strongly high. We validated the level of functional association of our method, and compared with current methods using GO.

Original languageEnglish
Title of host publicationProceedings - International Conference on Biocomputation, Bioinformatics, and Biomedical Technologies, BIOTECHNO 2008
Pages131-136
Number of pages6
DOIs
Publication statusPublished - 2008
EventInternational Conference on Biocomputation, Bioinformatics, and Biomedical Technologies, BIOTECHNO 2008 - Bucharest, Romania
Duration: 2008 Jun 292008 Jul 5

Publication series

NameProceedings - International Conference on Biocomputation, Bioinformatics, and Biomedical Technologies, BIOTECHNO 2008

Other

OtherInternational Conference on Biocomputation, Bioinformatics, and Biomedical Technologies, BIOTECHNO 2008
CountryRomania
CityBucharest
Period08/6/2908/7/5

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Information Systems
  • Biomedical Engineering

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