AI-based multi-PRS models outperform classical single-PRS models

AI-based multi-PRS models outperform classical single-PRS models

Polygenic risk scores (PRS) calculate the risk for a specific disease based on the weighted sum of associated alleles from different genetic loci in the germline estimated by regression models. Recent advances in genetics made it possible to create polygenic predictors of complex human traits, in...

Полное описание

Сохранить в:
Библиографические подробности
Главные авторы: Klau, Jan Henric, Maj, Carlo, Klinkhammer, Hannah, Krawitz, Peter M., Mayr, Andreas, Hillmer, Axel M., Schumacher, Johannes, Heider, Dominik
Формат: Статья
Язык:английский
Опубликовано: Philipps-Universität Marburg 2023
Предметы:
deep learning
machine learning
regression
breast cancer
Technik
polygenic risk score
Technology (Applied sciences)
Online-ссылка:PDF-полный текст
Метки: Добавить метку
Нет меток, Требуется 1-ая метка записи!
No citations were found for this record.

Схожие документы