Hong-Wen Deng

Orcid: 0000-0002-0387-8818

According to our database1, Hong-Wen Deng authored at least 60 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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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
Effective Cancer Subtype and Stage Prediction via Dropfeature-DNNs.
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

An autoencoder-based deep learning method for genotype imputation.
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

PCA-based GRS analysis enhances the effectiveness for genetic correlation detection.
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
A Sparse Model Based Detection of Copy Number Variations From Exome Sequencing Data.
IEEE Trans. Biomed. Eng., 2016

An integrative imputation method based on multi-omics datasets.
BMC Bioinform., 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
Common Copy Number Variation Detection From Multiple Sequenced Samples.
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

Scaled sparse high-dimensional tests for localizing sequence variants.
Proceedings of the 5th ACM Conference on Bioinformatics, 2014

2013
Group sparse canonical correlation analysis for genomic data integration.
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

Copy number variation estimation from multiple next-generation sequencing samples.
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

Bayesian robust analysis for genetic architecture of quantitative traits.
Bioinform., 2009

2008
HAPSIMU: a genetic simulation platform for population-based association studies.
BMC Bioinform., 2008

2007
Gene selection for classification of microarray data based on the Bayes error.
BMC Bioinform., 2007

2006
JADE: a distributed Java application for deleterious genomic mutation (DGM) estimation.
Bioinform., 2006

2005
SNPP: automating large-scale SNP genotype data management.
Bioinform., 2005

Hotelling's <i>T</i><sub>2</sub> multivariate profiling for detecting differential expression in microarrays.
Bioinform., 2005

PhD: a web database application for phenotype data management.
Bioinform., 2005


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