Gene Expression across Normal and Tumor tissue Home | Document | SiteMap   
Gene Expression across Normal and Tumor tissue
 
 
 
 
 
Menu Contents
 • Overview
  - Introduction
- DB description
- Method
- Outlier detection
- Analysis of
   Laboratory Effects

- Disclaimers
 • Search
 • Analysis
  - ERBB2 (HER2)
- EGFR
 • Inforamation
- Cancer Gene
- Cancer Cell Line
 • Reference

  Overview

 

COPA (Cancer Outlier Profile Analysis) is a computational method that identifies gene expression profiles that are over-expressed in only a subset of patients (Rhodes et al. 2009). The original COPA method is based on comparison between 75th or 90th percentile to a normal median. We haven’t implemented the original COPA method but instead use visualization by a box-plot so that users detect outliers across diverse tissues immediately.

Data Summary
 • Data sets
  - U133Plus2 : 306
- U133A : 241
 • Samples
  - U133Plus2 : 24,300
- U133A : 16,400
 • Probes
  - U133Plus2 : 54,613
- U133A : 22,215
 
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