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CIT: A Cluster Identification Tool based on Biclustering and Hierarchical Clustering | Abstract
Journal of Proteomics & Bioinformatics

Journal of Proteomics & Bioinformatics
Open Access

ISSN: 0974-276X

Abstract

CIT: A Cluster Identification Tool based on Biclustering and Hierarchical Clustering

Tabinda Hussain, Ammara Mazhar, Ammad-ud-din and Asif Mir

Cluster analysis is one of the most popular techniques applied in microarray data studies. Thousands of genes can be analyzed within minutes if cluster analysis is embedded in a computational tool. With such modern technologies, it has now become easier to find practical manifestations of microarray data in the fields of pharmacogenomics, cancer genetics and biological network construction. With this project work, we have developed a cluster identifying tool, i.e. CIT which is based on two different clustering methodologies namely; Biclustering and Hierarchical Clustering. We intend to embrace new possibilities in CIT in future, like; dendogram view, interactive outputs etc.

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