Kernel Machine Methods for Risk Prediction with High Dimensional Data
Contributors: Cai, Tianxi; Kraft, Peter; Mucci, Lorelei A.
Published: 2012
Language: eng
Description: Understanding the relationship between genomic markers and complex disease could have a profound impact on medicine, but the large number of potential markers can make it hard to differentiate true biological signal from noise and false positive associations.
Notes: Keywords: high dimensional data, kernel machines, pathways, risk prediction.

Thesis Ph.D. Harvard University 2012