5 citations · 11 across the 4 of their papers we have counts for
4 papers
ScAtt: an Attention based architecture to analyze Alzheimer's disease at cell type level from single-cell RNA-sequencing data
Xiaoxia Liu, Robert R Butler, Prashnna K Gyawali +2
Alzheimer's disease (AD) is a pervasive neurodegenerative disorder that leads to memory and behavior impairment severe enough to interfere with daily life activities. Understanding…
Robust inference with GhostKnockoffs in genome-wide association studies
Xinran Qi, Michael E. Belloy, Jiaqi Gu +3
Genome-wide association studies (GWASs) have been extensively adopted to depict the underlying genetic architecture of complex diseases. Motivated by GWASs' limitations in identify…
Ensembling improves stability and power of feature selection for deep learning models
Prashnna K Gyawali, Xiaoxia Liu, James Zou +1
With the growing adoption of deep learning models in different real-world domains, including computational biology, it is often necessary to understand which data features are esse…
Improving genetic risk prediction across diverse population by disentangling ancestry representations
Prashnna K Gyawali, Yann Le Guen, Xiaoxia Liu +3
Risk prediction models using genetic data have seen increasing traction in genomics. However, most of the polygenic risk models were developed using data from participants with sim…