Assistant Professor at the Indiana University School of Medicine.
Research Interest: Early detection of Alzheimer's disease using AI/deep learning methods on genomic, multi-omics, and radiology data.
π Books by Taeho Jo
- Deep Learning for Everyone - 3rd Edition (Code), Gilbut, 2022
- Deep Learning for Everyone - 2nd Edition (Code), Gilbut, 2019
- Deep Learning for Everyone - 1st Edition (Code), Gilbut, 2017
- Cognitive Neuroscience (Book), Gilbut, 2022
- Kaggle Data Analysis (Code), Gilbut, 2021
- Deep Learning Workbook (Code, Book), Gilbut, 2018
- What is Your Reason (Book, Brunch), A Certain Book, 2020
π¬ Research in Computational Biology with Machine Learning & Deep Learning
- β‘οΈ Details
- Circular-SWAT for deep learning based diagnostic classification of Alzheimerβs disease: Application to metabolome data (Code), (2023)
- Deep learning-based identification of genetic variants: application to Alzheimerβs disease classification (Code), (Paper)
- Deep learning detection of informative features in tau PET for Alzheimer's disease classification (Paper)
- Deep Learning in Alzheimer's Disease: Diagnostic Classification and Prognostic Prediction Using Neuroimaging Data (Paper)
- Improving protein fold recognition by Deep Learning (Paper)
- Improving protein fold recognition by Random Forest (Paper)
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