Biclustering of Biological data
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Date
2019
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
University Mohamed Boudiaf - M'sila Faculty of Mathematics and Informatics Department of Computer Science -Option: SIGL
Abstract
In this research, we have proposed a new model of biclustering of microarray matrices.
By applying the Kmeans to reordering data, and applying original Cheng and Church
algorithm to get biclusters. Our proposed model improve the accuracy score and run
time of algorithm. We verified this new model proposed with many variant synthetic
datasets and calculate the score of three external evaluation measures: Relative NonIntersecting Area (RNIA) and Clustering Error (CE), Campello Soft Index (CSI).
Description
Keywords
Cheng and Church, KMEANS, Biclustering, DNA Microarray, Gene Expression, Clustering.