
An in silico framework for integrating epidemiologic and genetic evidence with health care applications: ventilation-related pneumothorax as a case illustration
Author(s) -
Yelizaveta Torosyan,
Yuzhi Hu,
Spain Hoffman,
Qiong Luo,
Bruce Carleton,
Danica MarinacDabic
Publication year - 2016
Publication title -
carolina digital repository (university of north carolina at chapel hill)
Language(s) - English
DOI - 10.17615/f2fx-w463
Subject(s) - in silico , pneumothorax , intensive care medicine , medicine , ventilation (architecture) , computational biology , data science , computer science , biology , engineering , surgery , genetics , gene , mechanical engineering