Invention Application
- Patent Title: Identification of Co-Regulation Patterns By Unsupervised Cluster Analysis of Gene Expression Data
- Patent Title (中): 通过基因表达数据的无监督聚类分析鉴定协调模式
-
Application No.: US13019585Application Date: 2011-02-02
-
Publication No.: US20110125683A1Publication Date: 2011-05-26
- Inventor: Asa Ben Hur , André Elisseeff , Isabelle Guyon
- Applicant: Asa Ben Hur , André Elisseeff , Isabelle Guyon
- Applicant Address: US GA Savannah
- Assignee: HEALTH DISCOVERY CORPORATION
- Current Assignee: HEALTH DISCOVERY CORPORATION
- Current Assignee Address: US GA Savannah
- Main IPC: G06N3/12
- IPC: G06N3/12
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.
Public/Granted literature
- US08489531B2 Identification of co-regulation patterns by unsupervised cluster analysis of gene expression data Public/Granted day:2013-07-16
Information query
