Deep Learning captures the effect of epistasis in multifactorial diseases

V Perelygin, A Kamelin, N Syzrantsev, L Shaheen… - 2024 - researchsquare.com
Background Polygenic risk score (PRS) prediction is widely used to assess the risk of
diagnosis and progression of many diseases. Routinely, the weights of individual SNPs are …

Novel Representation Learning Improves Personalizing Blood Test Ranges and Disease Risk Prediction

AA Heydari, J Prieto, S Patel, N Rezaei - 2023 - researchsquare.com
Blood tests are an essential tool for healthcare providers to diagnose, monitor, and treat a
wide range of medical conditions. however, quantitative approaches for personalizing such …

Multi-Omic Dissection of Complex Human Diseases and Traits

MZ Jiang - 2022 - cdr.lib.unc.edu
Various individual omics data allow researchers to gain insights on the biological process of
the human body, the mechanisms of complex disease, and the development of therapeutics …

[PDF][PDF] Deep Learning and genomic selection

R Tonato, E Barrey, B Hanczar - 2022 - amarun.org
Nowadays, the use of deep learning algorithms in different areas has improved and
increased considerably. As a proof of that, we can show examples such as: self-driving cars …

[PDF][PDF] Multi-PGS enhances polygenic prediction: weighting 937 polygenic scores

M Neale20, F Privé, BJ Vilhjálmsson - scholar.archive.org
The predictive performance of polygenic scores (PGS) is largely dependent on the number
of samples available to train the PGS. Increasing the sample size for a specific phenotype is …

Multiple Testing Correction in Time Series Rolling Window Analysis with Application of GWAS Methods

S Wang - 2022 - search.proquest.com
Rolling window is a popular tool in time series analysis. When conducting hypothesis testing
on each window simultaneously, multiple testing problem occurs. In the literature in rolling …