Hong-Wen Deng
Orcid: 0000-0002-0387-8818
According to our database1,
Hong-Wen Deng
authored at least 64 papers
between 2005 and 2024.
Collaborative distances:
Collaborative distances:
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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
Developing and comparing deep learning and machine learning algorithms for osteoporosis risk prediction.
Frontiers Artif. Intell., 2024
A Staged Approach using Machine Learning and Uncertainty Quantification to Predict the Risk of Hip Fracture.
CoRR, 2024
A Demographic-Conditioned Variational Autoencoder for fMRI Distribution Sampling and Removal of Confounds.
CoRR, 2024
Multi-scale variational autoencoder for imputation of missing values in untargeted metabolomics using whole-genome sequencing data.
Comput. Biol. Medicine, 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
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
A deep learning-based approach to automatic proximal femur segmentation in quantitative CT images.
Medical Biol. Eng. Comput., 2022
Frontiers Artif. Intell., 2022
Hip Fracture Prediction using the First Principal Component Derived from FEA-Computed Fracture Loads.
CoRR, 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
DeepDNAbP: A deep learning-based hybrid approach to improve the identification of deoxyribonucleic acid-binding proteins.
Comput. Biol. Medicine, 2022
BERT6mA: prediction of DNA N6-methyladenine site using deep learning-based approaches.
Briefings Bioinform., 2022
2021
A Joint Analysis of Multi-Paradigm fMRI Data With Its Application to Cognitive Study.
IEEE Trans. Medical Imaging, 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
A Deep Learning-Based Approach to Extracting Periosteal and Endosteal Contours of Proximal Femur in Quantitative CT Images.
CoRR, 2021
A new approach to extracting coronary arteries and detecting stenosis in invasive coronary angiograms.
CoRR, 2021
Combining artificial intelligence: deep learning with Hi-C data to predict the functional effects of non-coding variants.
Bioinform., 2021
NeuroPred-FRL: an interpretable prediction model for identifying neuropeptide using feature representation learning.
Briefings Bioinform., 2021
2020
Causal Analysis of Health Interventions and Environments for Influencing the Spread of COVID-19 in the United States of America.
Frontiers Appl. Math. Stat., 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
Robust kernel canonical correlation analysis to detect gene-gene co-associations: A case study in genetics.
J. Bioinform. Comput. Biol., 2019
Briefings Bioinform., 2019
2018
Fast and Accurate Detection of Complex Imaging Genetics Associations Based on Greedy Projected Distance Correlation.
IEEE Trans. Medical Imaging, 2018
Joint Detection of Associations Between DNA Methylation and Gene Expression From Multiple Cancers.
IEEE J. Biomed. Health Informatics, 2018
A Sparse Regression Method for Group-Wise Feature Selection with False Discovery Rate Control.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
EPS-LASSO: test for high-dimensional regression under extreme phenotype sampling of continuous traits.
Bioinform., 2018
2017
Comparison of statistical methods for subnetwork detection in the integration of gene expression and protein interaction network.
BMC Bioinform., 2017
Tissue-specific pathway association analysis using genome-wide association study summaries.
Bioinform., 2017
2016
IEEE Trans. Biomed. Eng., 2016
Unified tests for fine-scale mapping and identifying sparse high-dimensional sequence associations.
Bioinform., 2016
2015
MicroRNA-mRNA interaction analysis to detect potential dysregulation in complex diseases.
Netw. Model. Anal. Health Informatics Bioinform., 2015
SWGDT: A sliding window-based genotype dependence testing tool for genome-wide susceptibility gene scan.
J. Biomed. Informatics, 2015
2014
IEEE Trans. Biomed. Eng., 2014
Population clustering based on copy number variations detected from next generation sequencing data.
J. Bioinform. Comput. Biol., 2014
Critical assessment of coalescent simulators in modeling recombination hotspots in genomic sequences.
BMC Bioinform., 2014
FISH: fast and accurate diploid genotype imputation via segmental hidden Markov model.
Bioinform., 2014
Proceedings of the 5th ACM Conference on Bioinformatics, 2014
2013
BMC Bioinform., 2013
CNV-TV: A robust method to discover copy number variation from short sequencing reads.
BMC Bioinform., 2013
Network-based investigation of genetic modules associated with functional brain networks in schizophrenia.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
Modeling exome sequencing data with generalized Gaussian distribution with application to copy number variation detection.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
A generalized sparse regression model with adjustment of pedigree structure for variant detection from next generation sequencing data.
Proceedings of the ACM Conference on Bioinformatics, 2013
2012
Detection of common copy number variation with application to population clustering from next generation sequencing data.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Identification of genes for complex diseases by integrating multiple types of genomic data.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Proceedings of the ACM International Conference on Bioinformatics, 2012
2011
Integrated Analysis of Gene Expression and Copy Number Data on Gene Shaving Using Independent Component Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2011
Comparative studies of <i>de novo</i> assembly tools for next-generation sequencing technologies.
Bioinform., 2011
Detection of copy number variation from next generation sequencing data with total variation penalized least square optimization.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011
2010
A Bayesian Analysis for Identifying DNA Copy Number Variations Using a Compound Poisson Process.
EURASIP J. Bioinform. Syst. Biol., 2010
2009
A new permutation strategy of pathway-based approach for genome-wide association study.
BMC Bioinform., 2009
Bioinform., 2009
2008
BMC Bioinform., 2008
2007
BMC Bioinform., 2007
2006
JADE: a distributed Java application for deleterious genomic mutation (DGM) estimation.
Bioinform., 2006
2005
Hotelling's <i>T</i><sub>2</sub> multivariate profiling for detecting differential expression in microarrays.
Bioinform., 2005