NDLI: Mining coregulated biclusters from gene expression data

Content Provider	IEEE Xplore Digital Library
Author	Lakshmi, K.I. Chandran, C.P.
Copyright Year	2012
Description	Author affiliation: Research Scholar (M. Phil), Post Graduate Department of Computer Science and Information Technology, Ayya Nadar Janaki Ammal College (Autonomous), Sivakasi, India (Lakshmi, K.I.) \|\| Department of Computer Science and Head Post Graduate Department of Bioinformatics, Ayya Nadar Janaki Ammal College (Autonomous), Sivakasi, India (Chandran, C.P.)
Abstract	The objective of this paper is mining coregulated biclusters from gene expression data. Gene expression is the process which produces functional product from the gene information. Data mining is used to find relevant and useful information from databases. Clustering groups the genes according to the given conditions. Biclustering algorithms belong to a distinct class of clustering algorithms that perform simultaneous clustering of both rows and columns of the gene expression matrix. In this paper a new algorithm, Enhanced Bimax algorithm is proposed based on the Bimax algorithm [7]. The normalization technique is included which is used to display a coregulated biclusters from gene expression data and grouping the genes in the particular order. In this work, Synthetic dataset is used to display the coregulated genes.
Starting Page	88
Ending Page	93
File Size	235484
Page Count	6
File Format	PDF
ISBN	9781467310376
e-ISBN	9781467310390
DOI	10.1109/ICPRIME.2012.6208292
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-21
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Coregulated biclusters Biclustering Enhanced Bimax RNA Genomics Clustering algorithms Gene expression data Gene expression Data mining Bioinformatics
Content Type	Text
Resource Type	Article

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