de Matos Simoes R

ORCID: 0000-0002-1700-5276 · 1 paper in corpus

2013

Collectives of diagnostic biomarkers identify high-risk subpopulations of hematuria patients: exploiting heterogeneity in large-scale biomarker data.

BMC medicine ·doi:10.1186/1741-7015-11-12

BackgroundIneffective risk stratification can delay diagnosis of serious disease in patients with hematuria. We applied a systems biology approach to analyze clinical, demographic and biomarker measurements (n = 29) collected from 157 hemat…