110 citations · 614 across the 31 of their papers we have counts for
31 papers
Predicting the genetic component of gene expression using gene regulatory networks
Gutama Ibrahim Mohammad, Tom Michoel
Gene expression prediction plays a vital role in transcriptome-wide association studies (TWAS), which seek to establish associations between tissue gene expression and complex trai…
Causal inference in drug discovery and development
Tom Michoel, Jitao David Zhang
To discover new drugs is to seek and to prove causality. As an emerging approach leveraging human knowledge and creativity, data, and machine intelligence, causal inference holds t…
rfPhen2Gen: A machine learning based association study of brain imaging phenotypes to genotypes
Muhammad Ammar Malik, Alexander S. Lundervold, Tom Michoel
Imaging genetic studies aim to find associations between genetic variants and imaging quantitative traits. Traditional genome-wide association studies (GWAS) are based on univariat…
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…
Integrating Sensing and Communication in Cellular Networks via NR Sidelink
Dariush Salami, Ramin Hasibi, Stefano Savazzi +2
RF-sensing, the analysis and interpretation of movement or environment-induced patterns in received electromagnetic signals, has been actively investigated for more than a decade.…
Tesla-Rapture: A Lightweight Gesture Recognition System from mmWave Radar Point Clouds
Dariush Salami, Ramin Hasibi, Sameera Palipana +3
We present Tesla-Rapture, a gesture recognition interface for point clouds generated by mmWave Radars. State of the art gesture recognition models are either too resource consuming…