4.8k citations · 4.8k across the 2 of their papers we have counts for
2 papers
cs.LG2017★ 1 cited
Evaluation of Machine Learning Methods to Predict Coronary Artery Disease Using Metabolomic Data
Henrietta Forssen, Riyaz S. Patel, Natalie Fitzpatrick +4
Metabolomic data can potentially enable accurate, non-invasive and low-cost prediction of coronary artery disease. Regression-based analytical approaches however might fail to full…
q-bio.GN2013★ 4.8k cited
Bayesian Test for Colocalisation Between Pairs of Genetic Association Studies Using Summary Statistics
Claudia Giambartolomei, Damjan Vukcevic, Eric E. Schadt +4
Genetic association studies, in particular the genome-wide association study design, have provided a wealth of novel insights into the aetiology of a wide range of human diseases a…