Hui Shen
Affiliations:- Tulane University, New Orleans, LA, United States
According to our database1,
Hui Shen
authored at least 16 papers
between 2011 and 2024.
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Bibliography
2024
CLCLSA: Cross-omics linked embedding with contrastive learning and self attention for integration with incomplete multi-omics data.
Comput. Biol. Medicine, March, 2024
2023
Multi-View Variational Autoencoder for Missing Value Imputation in Untargeted Metabolomics.
CoRR, 2023
CLCLSA: Cross-omics Linked embedding with Contrastive Learning and Self Attention for multi-omics integration with incomplete multi-omics data.
CoRR, 2023
ImageNomer: developing an fMRI and omics visualization tool to detect racial bias in functional connectivity.
CoRR, 2023
2022
Frontiers Artif. Intell., 2022
Multi-view information fusion using multi-view variational autoencoders to predict proximal femoral strength.
CoRR, 2022
A robust kernel machine regression towards biomarker selection in multi-omics datasets of osteoporosis for drug discovery.
CoRR, 2022
2021
A generalized kernel machine approach to identify higher-order composite effects in multi-view datasets, with application to adolescent brain development and osteoporosis.
J. Biomed. Informatics, 2021
2020
A Deep Learning-Based Method for Automatic Segmentation of Proximal Femur from Quantitative Computed Tomography Images.
CoRR, 2020
A generalized kernel machine approach to identify higher-order composite effects in multi-view datasets.
CoRR, 2020
A novel computational strategy for DNA methylation imputation using mixture regression model (MRM).
BMC Bioinform., 2020
2019
Briefings Bioinform., 2019
2018
EPS-LASSO: test for high-dimensional regression under extreme phenotype sampling of continuous traits.
Bioinform., 2018
2017
Tissue-specific pathway association analysis using genome-wide association study summaries.
Bioinform., 2017
2015
SWGDT: A sliding window-based genotype dependence testing tool for genome-wide susceptibility gene scan.
J. Biomed. Informatics, 2015
2011
Comparative studies of <i>de novo</i> assembly tools for next-generation sequencing technologies.
Bioinform., 2011