Open AccessPenalized Regression Versus Random Forest Model in Analyzing High Dimensional Proteomic Data: Diagnosis of IgA Nephropathy
Author(s) -
Afshin Almasi,
Shiva Kalantari,
Amir Hossein Hashemian,
Tahereh Mohammadi Majd
Publication year - 2017
Publication title -
shiraz e medical journal.
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.195
H-Index - 10
ISSN - 1735-1391
DOI - 10.5812/semj.14931
Subject(s) - random forest , lasso (programming language) , logistic regression , medicine , mann–whitney u test , nephropathy , univariate , biomarker , sample size determination , oncology , multivariate statistics , statistics , mathematics , machine learning , computer science , biology , world wide web , diabetes mellitus , endocrinology , biochemistry