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Chang In Moon

ClinicalOmicsDB: exploring molecular associations of oncology drug responses in clinical trials
2023 · Chang In Moon, John Michael Elizarraras, et al. · Nucleic Acids Research · 14
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Proteogenomic analysis of the CALGB 40601 (Alliance) HER2+ breast cancer neoadjuvant trial reveals resistance biomarkers
2025 · Eric J. Jaehnig, Aranzazu Fernandez-Martinez, et al. · Cell Reports Medicine · 3
Patient-Derived Xenograft-Guided Prediction of Chemotherapy Response in Triple-Negative Breast Cancer
2024 · Jonathan T. Lei, Lacey E. Dobrolecki, et al. · bioRxiv (Cold Spring Harbor Laboratory) · 3
Optimizing Neoadjuvant Treatment Response Prediction for Triple-Negative Breast Cancer Using Clinical Trial Data and Deep Auxiliary Learning
2024 · Chang In Moon, Bing Zhang · bioRxiv (Cold Spring Harbor Laboratory) · 2
Abstract P2-12-02: ClinicalomicsDB - Bridging the gap between clinical omics data and machine learning
2023 · Chang In Moon, Byron Jia, et al. · Cancer Research · 1
Abstract PS4-02: Patient-derived Xenografts (PDX) Allow Deconvolution of Combination Chemotherapy Response
2025 · Jonathan Lei, Lacey E. Dobrolecki, et al. · Clinical Cancer Research
Abstract 5717: Bridging the gap between clinical-omics and machine learning to improve cancer treatment
2023 · Chang In Moon, Byron Jia, et al. · Cancer Research
Works count: 7
Citation count: 23
H-index: 3
I10-index: 1
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