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BMC Bioinformatics
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October 29, 2014
Improving protein fold recognition by random forest
Taeho Jo, Jianlin Cheng
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|
December 23, 2025
Basic Science and Pathogenesis
Eun Hye Lee, Taeho Jo
Computational and Structural Biotechnology Journal
|
April 13, 2026
DuAL-Net: A Dual-Network Approach for Alzheimer's Disease Risk Prediction Using <i>APOE</i>-Centered Regional Whole-Genome Sequencing Data
Eun Hye Lee, Taeho Jo
Briefings in Bioinformatics
|
November 10, 2025
Uncertainty-aware genomic classification of Alzheimer's disease: a transformer-based ensemble approach with Monte Carlo dropout
Taeho Jo, Eun Hye Lee,
Frontiers in Aging Neuroscience
|
September 5, 2019
Deep Learning in Alzheimer's Disease: Diagnostic Classification and Prognostic Prediction Using Neuroimaging Data
Taeho Jo, Kwangsik Nho, Andrew J Saykin
Scientific Reports
|
December 5, 2015
Improving Protein Fold Recognition by Deep Learning Networks
Taeho Jo, Jie Hou, Jesse Eickholt, et al.
Alzheimer'S & Dementia (New York, N. Y.)
|
January 17, 2025
LD-informed deep learning for Alzheimer's gene loci detection using WGS data
Taeho Jo, Paula Bice, Kwangsik Nho, et al.
Briefings in Bioinformatics
|
February 19, 2022
Deep learning-based identification of genetic variants: application to Alzheimer's disease classification
Taeho Jo, Kwangsik Nho, Paula Bice, et al.
Medrxiv : the Preprint Server for Health Sciences
|
October 7, 2024
LD-informed deep learning for Alzheimer's gene loci detection using WGS data
Taeho Jo, Paula Bice, Kwangsik Nho, et al.
BMC Bioinformatics
|
December 29, 2020
Deep learning detection of informative features in tau PET for Alzheimer's disease classification
Taeho Jo, Kwangsik Nho, Shannon L Risacher, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 13) with videos related to
Sort By:
Page
of 2
BMC Bioinformatics
|
October 29, 2014
Improving protein fold recognition by random forest
Taeho Jo, Jianlin Cheng
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|
December 23, 2025
Basic Science and Pathogenesis
Eun Hye Lee, Taeho Jo
Computational and Structural Biotechnology Journal
|
April 13, 2026
DuAL-Net: A Dual-Network Approach for Alzheimer's Disease Risk Prediction Using <i>APOE</i>-Centered Regional Whole-Genome Sequencing Data
Eun Hye Lee, Taeho Jo
Briefings in Bioinformatics
|
November 10, 2025
Uncertainty-aware genomic classification of Alzheimer's disease: a transformer-based ensemble approach with Monte Carlo dropout
Taeho Jo, Eun Hye Lee,
Frontiers in Aging Neuroscience
|
September 5, 2019
Deep Learning in Alzheimer's Disease: Diagnostic Classification and Prognostic Prediction Using Neuroimaging Data
Taeho Jo, Kwangsik Nho, Andrew J Saykin
Scientific Reports
|
December 5, 2015
Improving Protein Fold Recognition by Deep Learning Networks
Taeho Jo, Jie Hou, Jesse Eickholt, et al.
Alzheimer'S & Dementia (New York, N. Y.)
|
January 17, 2025
LD-informed deep learning for Alzheimer's gene loci detection using WGS data
Taeho Jo, Paula Bice, Kwangsik Nho, et al.
Briefings in Bioinformatics
|
February 19, 2022
Deep learning-based identification of genetic variants: application to Alzheimer's disease classification
Taeho Jo, Kwangsik Nho, Paula Bice, et al.
Medrxiv : the Preprint Server for Health Sciences
|
October 7, 2024
LD-informed deep learning for Alzheimer's gene loci detection using WGS data
Taeho Jo, Paula Bice, Kwangsik Nho, et al.
BMC Bioinformatics
|
December 29, 2020
Deep learning detection of informative features in tau PET for Alzheimer's disease classification
Taeho Jo, Kwangsik Nho, Shannon L Risacher, et al.
Page
of 2