29 citations · 61 across the 6 of their papers we have counts for
6 papers
Performance Analysis of Clustering Algorithms for Gene Expression Data
T. Chandrasekhar, K. Thangavel, E. Elayaraja
Microarray technology is a process that allows thousands of genes simultaneously monitor to various experimental conditions. It is used to identify the co-expressed genes in specif…
Unsupervised Gene Expression Data using Enhanced Clustering Method
T. Chandrasekhar, K. Thangavel, E. Elayaraja +1
Microarrays are made it possible to simultaneously monitor the expression profiles of thousands of genes under various experimental conditions. Identification of co-expressed genes…
A Novel Approach for Single Gene Selection Using Clustering and Dimensionality Reduction
E. N. Sathishkumar, K. Thangavel, T. Chandrasekhar
We extend the standard rough set-based approach to deal with huge amounts of numeric attributes versus small amount of available objects. Here, a novel approach of clustering along…
Verdict Accuracy of Quick Reduct Algorithm using Clustering and Classification Techniques for Gene Expression Data
T. Chandrasekhar, K. Thangavel, E. N. Sathishkumar
In most gene expression data, the number of training samples is very small compared to the large number of genes involved in the experiments. However, among the large amount of gen…
Effective Clustering Algorithms for Gene Expression Data
T. Chandrasekhar, K. Thangavel, E. Elayaraja
Microarrays are made it possible to simultaneously monitor the expression profiles of thousands of genes under various experimental conditions. Identification of co-expressed genes…
Performance Analysis of Enhanced Clustering Algorithm for Gene Expression Data
T. Chandrasekhar, K. Thangavel, E. Elayaraja
Microarrays are made it possible to simultaneously monitor the expression profiles of thousands of genes under various experimental conditions. It is used to identify the co-expres…