Meet ApplyKite Twin, the application assistant that learns with you

Meet your Twin, it learns with you

Your Twin learns with you

Launch week codes:30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Mingon Kang

Associate Professor

United States

Research Interests

Explore related searches

Professors in United States Professors in Biochemistry Biochemistry professors in United States

Articles (12)

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2025

Year:

2023

Collaborators (6)

Jeong Hee Kim

Assistant Professor

Iowa State University

UNITED STATES

View details

Tesfaye Mersha

James A. Caplin Professor & Director of Precision Pulmonary Medicine

Indiana University-Purdue University Indianapolis

UNITED STATES

View details

Jay J. Shen

Professor

University of Nevada

UNITED STATES

View details

Sai Kosaraju

Assistant Professor

Cal Poly Pomona

UNITED STATES

View details

Seungman Park

Assistant Professor

University of Nevada

UNITED STATES

View details

Se Won Lee

Clinical Associate Professor

University of Nevada

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Mingon Kang

Research Interests

Explore related searches

Articles (12)

Fairness-aware supervised hierarchical contrastive semantic learning for sexual dimorphism analysis

PIMO: pathway-based interpretable multiomics interactions for multiomics integration

Prediction of Oxidative Stress‐ and Anticancer Drug‐Induced Cellular Senescence Using Holotomography and Interpretable Attention‐Based Contrastive Learning

Knowledge-guided learning with curated prior genetic biomarkers for robust model interpretation

IDF-EC: Interpretable Dynamic Feature–Logit Fusion for Enzyme Commission Number Prediction

Inference of Disease-Associated Pathway Interaction Networks using Graph Neural Networks

Interpretable convolutional neural networks for sequence-based classification and discovery of plastic-degrading enzymes

Examining Ethnic and Racial Variations in Opioid-related Hospitalizations Using Western U.S. Electronic Health Records

Trustworthy prediction of enzyme commission numbers using a hierarchical interpretable transformer

Intra- and inter-multi-omics interaction analysis using deep learning

Race-Specific Impact of Telehealth Advance Care Planning on Cost of Dementia: A Cost Prediction Study

Evidential deep learning for trustworthy prediction of enzyme commission number

Collaborators (6)

Jeong Hee Kim

Tesfaye Mersha

Jay J. Shen

Sai Kosaraju

Seungman Park

Se Won Lee

Make your next move.