# Pre-computed Pearson correlation coefficients by disease?

**URL:** <https://forum.depmap.org/t/pre-computed-pearson-correlation-coefficients-by-disease/2772>\
**Category:** Q&A\
**Created:** [August 23, 2023, 1:16pm UTC](https://forum.depmap.org/t/pre-computed-pearson-correlation-coefficients-by-disease/2772 "2023-08-23T13:16:41Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![mbelmonte](https://avatars.discourse-cdn.com/v4/letter/m/c6cbf5/32.png) [@mbelmonte](https://forum.depmap.org/u/mbelmonte)\
**Post date:** [August 23, 2023, 1:16pm UTC](https://forum.depmap.org/t/pre-computed-pearson-correlation-coefficients-by-disease/2772/1 "2023-08-23T13:16:41Z")

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Hello,  
I am looking to extract the Pearson correlation coefficient for gene expression vs. RNAi sensitivity for all genes (GeneA Gene Effect vs GeneA Expression, GeneA Gene Effect vs. Gene B Expression, GeneA Gene Effect vs. Gene C Expression, and so on…) using cell lines from a given disease (only glioblastoma, for example). Are the P coefficients computed on the fly (depending on filtering) or do these lie in a data file somewhere that can be downloaded? An ideal output would be a matrix of gene ID with Expression as columns and Gene Effect as rows. I’m using PRMT5/MTAP in glioblastoma in the below screen capture as an example of what I am trying to extract for all combinations of genes. Thanks!

 ![image](https://canada1.discourse-cdn.com/flex035/uploads/depmap/original/1X/9fcfe403d445009917fde2b8f0c3aea705a30aee.png)