MACLEAPS 1.0.2
:: DESCRIPTION
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.
::DEVELOPER
the Interfaculty Institute for Biomedical Informatics (IBMI) (Zentrum für Bioinformatik Tübingen, ZBIT).
:: SCREENSHOTS
N/A
:: REQUIREMENTS
- Linux/ WIndows/MacOsX
- PLINK
- Java
:: DOWNLOAD
:: MORE INFORMATION
Citation
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.