Author

Ming‐Jing Hwang

National Taiwan UniversityORCID 0000-0002-9657-5663Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Assay:electronic health records· 1 Approach:machine learning (classical)· 1 Research Focus:perturbation response prediction· 1

Frequent Co-Authors

Chih-Han HuangiD· 2 shared Edward S.C. ShihiD· 2 shared Tsai‐Min CheniD· 2 shared Justine Hsu· 1 shared Li-yen Yang· 1 shared Yu‐Feng HuiD· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 13 mutual co-author links

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2 shared papersBioinformatics

Chih-Han HuangORCID

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2 papers

Recent·Most cited

Predicting FDA approvability of small-molecule drugs

Chih-Han Huang, Justine Hsu, Li-yen Yang, Tsai‐Min Chen, Edward S.C. Shih, Ming‐Jing Hwang

This paper develops machine learning models to predict small-molecule drug FDA approvability and clinical trial success using molecular structure and physicochemical properties, significantly reducing attrition rates.

bioRxiv · Oct 15, 2022 · PreprintBioinformatics

Detection and Classification of Cardiac Arrhythmias by a Challenge-Best Deep Learning Neural Network Model

Tsai‐Min Chen, Chih-Han Huang, Edward S.C. Shih, Yu‐Feng Hu, Ming‐Jing Hwang

The paper develops a deep learning model for detecting and classifying cardiac arrhythmias using ECG data, achieving high accuracy in a competition setting.

iScience · Jan 1, 2019Peer-reviewedBioinformatics