Dec 012013
 

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 Center for Bioinformatics Tübingen (Zentrum für Bioinformatik Tübingen, ZBIT).

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/ WIndows/MacOsX
  • PLINK
  • Java

:: DOWNLOAD

  MACLEAPS

:: 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.

255 views

Sorry, the comment form is closed at this time.