CNV PCA Search

Author: Christophe Lambert; Greta Linse, Golden Helix, Inc.

Given a spreadsheet, prompt for a principal components spreadsheet, a lower and upper bound on the number of components and a step size. Runs association tests using each components setting, does a linear regression on the least significant 90% of the data and reports the slope of the line and a goodness of fit statistic. This script can be used in conjunction with the CNV PCA Search tutorial.

CNV PCA Search.py

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Recommended Directory Location

Save the script to the following directory:
*..\Application Data\Golden Helix SVS\UserScripts\Spreadsheet\Scripts

Note: The Application Data folder is a hidden folder on many operating systems and its location varies between operating systems. The easiest way to locate this directory on your computer is to open SVS and go to Tools >Open Folder > UserScripts Folder. If saved to the proper folder, this script will be accessible from the Spreadsheet Scripts menu.


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What is Python?

Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java. Integrating Python into SVS provides full programmatic access to many of the software's features enabling the augmentation of existing tools, creating entirely new ones, automation of work flows, integration with other programs and more.

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