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Parses the output of a SurvivalNet analysis and outputs data to a web app for easy analysis of gradient plots and gene features. (Created with Cooper Lab for SurvivalNet project - github.com/CancerDataScience/SurvivalNet)

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shalini-s/gene_rank

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Requirements:
Django 2.0
gradients.rnk located in gene_rank/one
outputted image files in gene_rank/one/templates/one

Files:
html page design - gene_rank/one/templates/one/people.html
reading gradients file to table - gene_rank/one/views.py
table set up - gene_rank/one/tables.py

Use:
Navigate to gene_rank folder, run this command:
python manage.py runserver

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Parses the output of a SurvivalNet analysis and outputs data to a web app for easy analysis of gradient plots and gene features. (Created with Cooper Lab for SurvivalNet project - github.com/CancerDataScience/SurvivalNet)

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