Cart (Loading....) | Create Account
Close category search window
 

Cancer molecular classification based on support vector machines

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Yingxin Li ; Sch. of Electron. Information & Control Eng., Beijing Univ. of Technol., China ; Quanjin Liu ; Xiaogang Ruan

A method based on support vector machines is proposed for cancer molecular classification. The Bhattacharyya distance of each gene is calculated as the criterion for filtering 'noisy-genes' which do not contribute to classification, and then based on the expression values of the informative genes, a linear support vector machine is used as the classifier to classify different cancers. This process has been applied to the human acute leukemia dataset as a test case. The effectiveness and feasibility of the method is proved by the results that all the samples in the dataset can be correctly classified without any error.

Published in:

Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on  (Volume:6 )

Date of Conference:

15-19 June 2004

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.