1 citations · 1 across the 4 of their papers we have counts for
4 papers
Prediction of causal genes at GWAS loci with pleiotropic gene regulatory effects using sets of correlated instrumental variables
Mariyam Khan, Adriaan-Alexander Ludl, Sean Bankier +2
Multivariate Mendelian randomization (MVMR) is a statistical technique that uses sets of genetic instruments to estimate the direct causal effects of multiple exposures on an outco…
GENER: A Parallel Layer Deep Learning Network To Detect Gene-Gene Interactions From Gene Expression Data
Ahmed Fakhry, Raneem Khafagy, Adriaan-Alexander Ludl
Detecting and discovering new gene interactions based on known gene expressions and gene interaction data presents a significant challenge. Various statistical and deep learning me…
High-dimensional multi-trait GWAS by reverse prediction of genotypes
Muhammad Ammar Malik, Adriaan-Alexander Ludl, Tom Michoel
Multi-trait genome-wide association studies (GWAS) use multi-variate statistical methods to identify associations between genetic variants and multiple correlated traits simultaneo…
Comparison between instrumental variable and mediation-based methods for reconstructing causal gene networks in yeast
Adriaan-Alexander Ludl, Tom Michoel
Causal gene networks model the flow of information within a cell, but reconstructing them from omics data is challenging because correlation does not imply causation. Combining gen…