Article Information
History
- January 20, 2016.
Copyright
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Author Information
- Fabienne Jabot-Hanin,
- Hugo Varet,
- Frederic Tores,
- Alexandre Alcaïs and
- Jean-Philippe Jaïs
- INSERM U1163, AP-HP, Necker-Enfants Malades University Hospital, Biostatistics Unit, Paris Descartes University, Bioinformatics Platform, Imagine Institute 24 Bd Montparnasse 75015 Paris, France fabienne.jabothanin{at}gmail.com
- AP-HP, Necker-Enfants Malades University Hospital, Biostatistics Unit 24 Bd Montparnasse 75015 Paris, France
- Paris Descartes University, Bioinformatics Platform, Imagine Institute 24 Bd Montparnasse 75015 Paris, France
- INSERM U1163, Paris Descartes University, Imagine Institute 24 Bd Montparnasse 75015 Paris, France
- AP-HP, Necker-Enfants Malades University Hospital, Biostatistics Unit, Paris Descartes University, Bioinformatics Platform, Imagine Institute 24 Bd Montparnasse 75015 Paris, France INSERM U872 team 22, 15 rue de l’Ecole de Médecine 75006 Paris France
Posted January 20, 2016.
Rfpred: A Random Forest Approach for Prediction of Missense Variants in Human Exome
