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09/29/2022
Causal inference in drug discovery and development
To discover new drugs is to seek and to prove causality. As an emerging ...
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03/31/2022
rfPhen2Gen: A machine learning based association study of brain imaging phenotypes to genotypes
Imaging genetic studies aim to find associations between genetic variant...
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10/29/2021
High-dimensional multi-trait GWAS by reverse prediction of genotypes
Multi-trait genome-wide association studies (GWAS) use multi-variate sta...
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09/15/2021
Integrating Sensing and Communication in Cellular Networks via NR Sidelink
RF-sensing, the analysis and interpretation of movement or environment-i...
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09/14/2021
Tesla-Rapture: A Lightweight Gesture Recognition System from mmWave Radar Point Clouds
We present Tesla-Rapture, a gesture recognition interface for point clou...
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10/14/2020
Comparison between instrumental variable and mediation-based methods for reconstructing causal gene networks in yeast
Causal gene networks model the flow of information within a cell, but re...
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05/08/2020
Predicting gene expression from network topology using graph neural networks
Motivation: It is known that the structure of transcription and protein ...
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05/06/2020
Restricted maximum-likelihood method for learning latent variance components in gene expression data with known and unknown confounders
Linear mixed modelling is a popular approach for detecting and correctin...
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11/28/2017