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Two Phase Integrated Rule based Model (TPC-IRBM) for Clustering of Gene Expression Data of CA1 Region of Rat Hippocampus

by Sudhakar Tripathi, R. B. Mishra
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 84 - Number 6
Year of Publication: 2013
Authors: Sudhakar Tripathi, R. B. Mishra
10.5120/14580-2803

Sudhakar Tripathi, R. B. Mishra . Two Phase Integrated Rule based Model (TPC-IRBM) for Clustering of Gene Expression Data of CA1 Region of Rat Hippocampus. International Journal of Computer Applications. 84, 6 ( December 2013), 23-29. DOI=10.5120/14580-2803

@article{ 10.5120/14580-2803,
author = { Sudhakar Tripathi, R. B. Mishra },
title = { Two Phase Integrated Rule based Model (TPC-IRBM) for Clustering of Gene Expression Data of CA1 Region of Rat Hippocampus },
journal = { International Journal of Computer Applications },
issue_date = { December 2013 },
volume = { 84 },
number = { 6 },
month = { December },
year = { 2013 },
issn = { 0975-8887 },
pages = { 23-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume84/number6/14580-2803/ },
doi = { 10.5120/14580-2803 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:00:13.167868+05:30
%A Sudhakar Tripathi
%A R. B. Mishra
%T Two Phase Integrated Rule based Model (TPC-IRBM) for Clustering of Gene Expression Data of CA1 Region of Rat Hippocampus
%J International Journal of Computer Applications
%@ 0975-8887
%V 84
%N 6
%P 23-29
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper propose a semi supervised clustering model TPC-IRBM(Two phase clustering-Integrated rule based model) for clustering large data set such as gene expression data. TPC-IRBM works in two phases to cluster the gene expression data set. The proposed model is based on rule based models CRT,C5,CHAID and QUEST. In the first phase of the model 30 % data(which may vary) is extracted to prepare training, testing and validation data (TTV data)using suitable heuristic or neural network based clustering techniques. The output of first phase is used as build the models and generate the rule base fitting to TTV data using aforesaid models. The proposed model is then constructed by selecting and integrating the quality rules of various models using qualifying criteria corresponding to every cluster. The number of quality rules in proposed model is much more compared to that of CRT,C5,CHAID and QUEST. The performance in terms of accuracy is better compared to the models. Although in some cases Neural Network based models performance is slightly better but a very high cost of complexity for very large data set.

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Index Terms

Computer Science
Information Sciences

Keywords

Gene expression clustering semi supervised clustering integrated rule based model two phase clustering CA1 region gene expression clustering of rat hippocampus.

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