Exploratory tools for follow-up studies to microarray experiments

Kaushik Sinha, Jin Ruoming, Gagan Agrawal, Helen Piontkivska

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

Abstract

In this paper we present two different exploratory tools for data analysis following a gene microarray experiment. The first tool is based on a novel data mining formulation, called hypergraph mining. In the second tool, we provide a family of expectation based similarity measures between sets of genes or between a set and a single gene. We have evaluated these two tools using output from two different microarray studies. We showed how many interesting observations could be made using our tools, and how the results from the two tools were similar in many ways.

Original languageEnglish (US)
Title of host publicationProceedings - Sixth IEEE Symposium on BioInformatics and BioEngineering, BIBE 2006
Pages81-85
Number of pages5
DOIs
StatePublished - 2006
Externally publishedYes
Event6th IEEE Symposium on BioInformatics and BioEngineering, BIBE 2006 - Arlington, VA, United States
Duration: Oct 16 2006Oct 18 2006

Publication series

NameProceedings - Sixth IEEE Symposium on BioInformatics and BioEngineering, BIBE 2006

Conference

Conference6th IEEE Symposium on BioInformatics and BioEngineering, BIBE 2006
CountryUnited States
CityArlington, VA
Period10/16/0610/18/06

ASJC Scopus subject areas

  • Biotechnology
  • Computer Science Applications
  • Information Systems

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