Identification of co-regulation patterns by unsupervised cluster analysis of gene expression data
Number of patents in Portfolio can not be more than 2000
United States of America Patent
Stats
-
Jul 16, 2013
Grant Date -
May 26, 2011
app pub date -
Feb 2, 2011
filing date -
May 18, 2001
priority date (Note) -
In Force
status (Latency Note)
Importance
Abstract
A method is provided for unsupervised clustering of gene expression data to identify co-regulation patterns. A clustering algorithm randomly divides the data into k different subsets and measures the similarity between pairs of datapoints within the subsets, assigning a score to the pairs based on similarity, with the greatest similarity giving the highest correlation score. A distribution of the scores is plotted for each k. The highest value of k that has a distribution that remains concentrated near the highest correlation score corresponds to the number of co-regulation patterns.
First Claim
Family
International Classification(s)
- [Classification Symbol]
- [Patents Count]
Cited Art Landscape
Patent Citation Ranking
Recipient Email Address
Recipient Email Address
Comment
Recipient Email Address
Add to Portfolio(s)
To add this patent to one, or more, of your portfolios, simply click the add button.
This Patent is in these Portfolios:
Add to additional portfolios:
Last Refreshed On:
Changes done successfully