Call For Paper Volume:6 Issue:11 Nov'2019 |

ASSAY OF LYMPHOMA USING GENE EXPRESSION DATA- GENETIC FUZZY SYSTEM AND MODIFIED K-MEANS ALGORITHM

Publication Date : 05/11/2016


DOI : 10.21884/IJMTER.2016.3107.YPL5U

Author(s) :

Ms. B.Nagarathna.


Volume/Issue :
Volume 3
,
Issue 10
(11 - 2016)



Abstract :

Microarray gene expression data are playing an essential role in cancer classifications. However, due to the availability of small number of effective samples compared to the large number of genes in microarray data, many computational methods have failed to identify a small subset of important genes. Therefore, it is a challenging task to identify small number of disease-specific significant genes related for precise diagnosis of cancer sub classes. In this research, Genetic fuzzy system along with Modified K-means algorithm based gene selection technique is proposed to distinguish a small subset of useful genes that are sufficient for the desired classification purpose.


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ASSAY OF LYMPHOMA USING GENE EXPRESSION DATA- GENETIC FUZZY SYSTEM AND MODIFIED K-MEANS ALGORITHM

October 25, 2016