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

Workshop: Algorithms for discovery of mutated pathways in cancer

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)
Vandin, F. ; Dept. of Comput. Sci., Brown Univ., Providence, RI, USA ; Upfal, E. ; Raphael, B.J.

Markov chain Monte Carlo algorithm is applied to several cancer types including glioblastoma multiforme (GBM), lung adenocarcinoma, and ovarian carcinoma (OV). HotNet identifies significant subnetworks that are part of well-known cancer pathways as well as novel subnetworks. Among the most significant subnetworks identified in OV data is the Notch signaling pathway. HotNet is used to identify mutated pathways associated with patient survival. In the TCGA OV data, 9 subnetworks containing genes whose mutations are associated with survival is discovered. Genes in 4 of these subnetworks overlap pathways known to be associated to survival, including focal adhesion and cell adhesion pathways. In GBM and lung Dendrix finds significant sets of genes that are mutated in large subsets of patients and whose mutations are approximately exclusive, including genes in well known cancer pathways.

Published in:

Computational Advances in Bio and Medical Sciences (ICCABS), 2012 IEEE 2nd International Conference on

Date of Conference:

23-25 Feb. 2012

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.