Ha, Min Jin

Structure-based classification predicts drug response in EGFR-mutant NSCLC

Robichaux, J. P., Le, X., Vijayan, R. S. K., Hicks, J. K., Heeke, S., Elamin, Y. Y., Lin, H. Y., Udagawa, H., Skoulidis, F., Tran, H., et al. (2021) · Nature

Lung Cancer Treatments and MutationsHER2/EGFR in Cancer Research

Cited by 490

Heritability and genomics of gene expression in peripheral blood

Wright, F. A., Sullivan, P. F., Brooks, A. I., Zou, F., Sun, W., Xia, K., Madar, V., Jansen, R., Chung, W., Zhou, Y.-H., et al. (2014) · Nature Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 362

DINGO: differential network analysis in genomics

Ha, M. J., Baladandayuthapani, V., & Do, K.-A. (2015) · Bioinformatics

Bioinformatics and Genomic NetworksGene expression and cancer classification

Cited by 120

Hepatic resection for breast cancer liver metastases: Impact of intrinsic subtypes

Chun, Y. S., Mizuno, T., Cloyd, J. M., Ha, M. J., Omichi, K., Tzeng, C.-W. D., Aloia, T. A., Ueno, N. T., Kuerer, H. M., Barcenas, C. H., et al. (2020) · European Journal of Surgical Oncology

Breast Cancer Treatment StudiesMetastasis and carcinoma case studies

Cited by 32

CombPDX: a unified statistical framework for evaluating drug synergism in patient-derived xenografts

Huang, L., Wang, J., Fang, B., Meric-Bernstam, F., Roth, J. A., & Ha, M. J. (2022) · Scientific Reports

Statistical Methods in Clinical TrialsComputational Drug Discovery Methods

Cited by 21