Gene-Expression Based Cancer Classification From Microarray Data: Through Statistical Feature Selection - Nirmalakumari K,Ganesh Babu C.,Harikumar Rajaguru
-20% with code BOOKS
Shipping in 15-21 days
30-day return policy
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- ... Full description
You May Also Like
TOP
Born a Crime: Stories from a South African Childhood
-20% with code BOOKS
In stock
TOP
Little Book of Cartier: The story of the iconic jewellery brand
-20% with code BOOKS
In stock at our supplier
TOP
A Screaming Life: Into the Superunknown with Soundgarden and Beyond
-20% with code BOOKS
In stock at our supplier
TOP
Amusing Ourselves to Death: Public Discourse in the Age of Show Business
-20% with code BOOKS
In stock at our supplier
TOP
Encyclopaedia Eorzea ~The World of Final Fantasy XIV~ Volume I
-20% with code BOOKS
In stock at our supplier
TOP
25 leichte Etüden: für Klavier op. 100
-20% with code BOOKS
In stock at our supplier
TOP
Call It Home: The Details That Matter
-20% with code BOOKS
In stock at our supplier
TOP
Encyclopaedia Eorzea ~The World of Final Fantasy XIV~ Volume II
-20% with code BOOKS
In stock at our supplier
TOP
The Art of Home: A Designer Guide to Creating an Elevated Yet Approachable Home
-20% with code BOOKS
In stock at our supplier
TOP
Francis Kéré: Building Stories
-20% with code BOOKS
In stock at our supplier
TOP
Fashionpedia: The Visual Dictionary of Fashion Design
-20% with code BOOKS
In stock at our supplier
TOP
The Unofficial Ghibli Cookbook
-20% with code BOOKS
In stock at our supplier
TOP
The Joinery Compendium: Learning from Traditional Woodworking
-20% with code BOOKS
In stock at our supplier
TOP
Architecture Against Architecture: A Manifesto
-20% with code BOOKS
In stock at our supplier
TOP
If I Could Write Poetry: Selected Lyrics
-20% with code BOOKS
In stock at our supplier
TOP
Lorena B - Top Model of MetArt.com: Deutsch/Englische Originalausgabe - Original English-German Edition
-20% with code BOOKS
In stock at our supplier
TOP
Ein deutsches Requiem op. 45: Klavierauszug
-20% with code BOOKS
In stock at our supplier
TOP
A Man and His Watch: 76 of the World's Most Iconic Watches and Stories from the Men Who Wore Them
-20% with code BOOKS
In stock at our supplier
Description
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.
More Information
| Author | Nirmalakumari K, Ganesh Babu C., Harikumar Rajaguru |
|---|---|
| Publisher | LAP LAMBERT Academic Publishing |
| Release year | 2019 |
| Cover type | Softcover |
| EAN | 9786200434135 |