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

Periodicity Detection in Small-Sample Gene-Expression Data

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

2 Author(s)
Mahata, K. ; Univ. of Newcastle, Callaghan ; Mahata, P.

Analysis of cell-cycle regulation, circadian rhythms, ovarian cycle, etc, demands finding periodicity in the biological data. In this work, we will consider gene expression data, which is usually quite noisy and comprise of small number of samples from very few periods (2 - 3). We propose a n on-parametric method for detecting the period and shape of the periodic signals (e.g., gene expressions for cell-cycles). We use a quadratic-optimization problem formulation in order to find the shape of the signal and the properties of periodicity to find the exact period. Finally, we show the results of applying this method on the gene expression data for human fibroblast cell cycles.

Published in:

Digital Signal Processing, 2007 15th International Conference on

Date of Conference:

1-4 July 2007

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.