Title :
Exploratory Tools for Follow-Up Studies to Microarray Experiments
Author :
Sinha, Kaushik ; Jin, Ruoming ; Agrawal, Gagan ; Piontkivska, Helen
Author_Institution :
Dept. of Comput. Sci. & Eng., Ohio State Univ., Columbus, OH
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
Keywords :
biology computing; data analysis; data mining; genetics; data analysis; data mining formulation; gene microarray experiment; hypergraph mining; Biology; Computer science; DNA; Data analysis; Data engineering; Data mining; Diseases; Joining processes; Ontologies; Proteins;
Conference_Titel :
BioInformatics and BioEngineering, 2006. BIBE 2006. Sixth IEEE Symposium on
Conference_Location :
Arlington, VA
Print_ISBN :
0-7695-2727-2
DOI :
10.1109/BIBE.2006.253319