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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)
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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