A python package for standardized and reproducible processing, analysis, and integration of clinical proteomics data
Written by Nicholas Giangreco
Copyright (c) 2018 by the Tatonetti Lab
Discovery of disease biomarkers or risk factors requires high throughput experimentation on patient's samples collected as a cohort of patients. This clinical data is collected from multiple patient cohorts either within an institutions or among many institutions.
This python package aims to provide standardization in creating a data structure representing each clinical dataset, while allowing for seamless integration of multiple instances.
git clone ... cd ... pip install setup.py ...
python 3
Please do! Both cohort data structure and functionality features are needed.