MACLEAPS is an automated pipeline that uses state-of-the-art machine learning algorithms to create a disease risk model based on a given GWAS SNP dataset and assesses its predictive performance for unseen datasets. The pipeline can either use a first dataset for training the model and a second for validation, or perform a nested k-fold cross-validation on a single dataset.
the Center for Bioinformatics Tübingen (Zentrum für Bioinformatik Tübingen, ZBIT).
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Hum Mutat. 2012 Dec;33(12):1708-18. doi: 10.1002/humu.22161. Epub 2012 Aug 3.
Use of support vector machines for disease risk prediction in genome-wide association studies: concerns and opportunities.
Mittag F et al.