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portada Gene-Expression Based Cancer Classification From Microarray Data
Type
Physical Book
Language
English
Pages
56
Format
Paperback
Dimensions
22.9 x 15.2 x 0.3 cm
Weight
0.10 kg.
ISBN13
9786200434135

Gene-Expression Based Cancer Classification From Microarray Data

Harikumar Rajaguru (Author) · Nirmalakumari K (Author) · LAP Lambert Academic Publishing · Paperback

Gene-Expression Based Cancer Classification From Microarray Data - K, Nirmalakumari ; Rajaguru, Harikumar ; C, Ganesh Babu

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Synopsis "Gene-Expression Based Cancer Classification From Microarray Data"

Microarray technology is used for monitoring thousands of genes at a similar time. This work employs feature selection technique to identify the differently expressed genes by selecting a subset of genes, selecting top ranked genes or removing the redundant genes for better classification model. This work presents the efficiency of three feature selection methods namely one-way ANOVA, Kruskall-Wallis and T-Test for gene selection on three publically available microarray dataset followed by classification of those using Naive Bayes, Binary SVM and Multiclass SVM classification algorithms. The results show the effectiveness of feature selection algorithms on three microarray cancer datasets namely MLL_Leukemia, Lung and SRBCT.

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