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| import pandas as pd # May not need this or may have already done this but so you know where pd comes from | |
| #### Two possible solutions | |
| ############################################################################## | |
| ### 1. Calculate all possible values which is what you are doing currently ### | |
| ############################################################################## | |
| corrDF_R = pd.DataFrame(index=df.index, columns=df.index) | |
| corrDF_p = pd.DataFrame(index=df.index, columns=df.index) | |
| for i in corrDF_p.index: |
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| ########################################################## | |
| ## OncoMerge: oncoMerge.py ## | |
| ## ______ ______ __ __ ## | |
| ## /\ __ \ /\ ___\ /\ \/\ \ ## | |
| ## \ \ __ \ \ \___ \ \ \ \_\ \ ## | |
| ## \ \_\ \_\ \/\_____\ \ \_____\ ## | |
| ## \/_/\/_/ \/_____/ \/_____/ ## | |
| ## @Developed by: Plaisier Lab ## | |
| ## (https://plaisierlab.engineering.asu.edu/) ## | |
| ## Arizona State University ## |
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