medical-2
Genetic Risk Prediction
3260 papers • 126 benchmarks • 313 datasets
Polygenic Risk Scores (PRS) / Polygenic Scores (PGS)
(Image credit: Papersgraph)
Benchmarks
These leaderboards are used to track progress in genetic-risk-prediction-4
Trend
Dataset
Best Model
Actions
No benchmarks available.
Libraries
iUse these libraries to find genetic-risk-prediction-4 models and implementations
Datasets
No datasets available.
Subtasks
No subtasks available.
Most implemented papers
GenNet framework: interpretable deep learning for predicting phenotypes from genetic data
W. Niessen, Arno van Hilten, S. Kushner, M. Kayser, M. Ikram, H. Adams, C. Klaver, Gennady V. Roshchupkin•Thu Sep 16 2021
GenNet is a freely available, end-to-end deep learning framework that allows researchers to develop and use interpretable neural networks to obtain novel insights into the genetic architecture of complex traits and diseases.
71