Suivre
MIN JIN HA
MIN JIN HA
Graduate School of Public Health, Yonsei University
Adresse e-mail validée de yuhs.ac - Page d'accueil
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A community effort to assess and improve drug sensitivity prediction algorithms
JC Costello, LM Heiser, E Georgii, M Gönen, MP Menden, NJ Wang, ...
Nature biotechnology 32 (12), 1202-1212, 2014
7542014
Heritability and genomics of gene expression in peripheral blood
FA Wright, PF Sullivan, AI Brooks, F Zou, W Sun, K Xia, V Madar, ...
Nature genetics 46 (5), 430-437, 2014
4112014
Structure-based classification predicts drug response in EGFR-mutant NSCLC
JP Robichaux, X Le, RSK Vijayan, JK Hicks, S Heeke, YY Elamin, HY Lin, ...
Nature 597 (7878), 732-737, 2021
2352021
Conservation of copy number profiles during engraftment and passaging of patient-derived cancer xenografts
XY Woo, J Giordano, A Srivastava, ZM Zhao, MW Lloyd, R de Bruijn, ...
Nature genetics 53 (1), 86-99, 2021
1472021
DINGO: differential network analysis in genomics
MJ Ha, V Baladandayuthapani, KA Do
Bioinformatics 31 (21), 3413-3420, 2015
1392015
An improved patient-derived xenograft humanized mouse model for evaluation of lung cancer immune responses
IM Meraz, M Majidi, F Meng, RP Shao, MJ Ha, S Neri, B Fang, SH Lin, ...
Cancer immunology research 7 (8), 1267-1279, 2019
1162019
Combined inhibition of STAT3 and DNA repair in palbociclib-resistant ER-positive breast cancer
NM Kettner, S Vijayaraghavan, MG Durak, T Bui, M Kohansal, MJ Ha, ...
Clinical Cancer Research 25 (13), 3996-4013, 2019
972019
Comprehensive characterization of 536 patient-derived xenograft models prioritizes candidates for targeted treatment
H Sun, S Cao, RJ Mashl, CK Mo, S Zaccaria, MC Wendl, SR Davies, ...
Nature communications 12 (1), 5086, 2021
712021
Cytoplasmic cyclin E predicts recurrence in patients with breast cancer
KK Hunt, C Karakas, MJ Ha, A Biernacka, M Yi, AA Sahin, O Adjapong, ...
Clinical Cancer Research 23 (12), 2991-3002, 2017
562017
Systematic establishment of robustness and standards in patient-derived xenograft experiments and analysis
YA Evrard, A Srivastava, J Randjelovic, JH Doroshow, DA Dean, ...
Cancer research 80 (11), 2286-2297, 2020
492020
In Vitro Screening for Population Variability in Chemical Toxicity
SH O'Shea, J Schwarz, O Kosyk, PK Ross, MJ Ha, FA Wright, I Rusyn
Toxicological Sciences 119 (2), 398-407, 2011
392011
PenPC: A two‐step approach to estimate the skeletons of high‐dimensional directed acyclic graphs
MJ Ha, W Sun, J Xie
Biometrics 72 (1), 146-155, 2016
282016
Partial correlation matrix estimation using ridge penalty followed by thresholding and re‐estimation
MJ Ha, W Sun
Biometrics 70 (3), 762-770, 2014
262014
Personalized integrated network modeling of the cancer proteome atlas
MJ Ha, S Banerjee, R Akbani, H Liang, GB Mills, KA Do, ...
Scientific reports 8 (1), 14924, 2018
232018
Targeting replicative stress and DNA repair by combining PARP and Wee1 kinase inhibitors is synergistic in triple negative breast cancers with cyclin E or BRCA1 alteration
X Chen, D Yang, JPW Carey, C Karakas, C Albarracin, AA Sahin, BK Arun, ...
Cancers 13 (7), 1656, 2021
202021
Bayesian structure learning in multilayered genomic networks
MJ Ha, FC Stingo, V Baladandayuthapani
Journal of the American Statistical Association 116 (534), 605-618, 2021
192021
Hepatic resection for breast cancer liver metastases: Impact of intrinsic subtypes
YS Chun, T Mizuno, JM Cloyd, MJ Ha, K Omichi, CWD Tzeng, TA Aloia, ...
European Journal of Surgical Oncology 46 (9), 1588-1595, 2020
192020
Bayesian hierarchical varying-sparsity regression models with application to cancer proteogenomics
Y Ni, FC Stingo, MJ Ha, R Akbani, V Baladandayuthapani
Journal of the American Statistical Association 114 (525), 48-60, 2019
192019
An improved patient-derived xenograft humanized mouse model for evaluation of lung cancer immune responses. Cancer Immunol. Res. 2019; 7: 1267–1279. doi: 10.1158/2326-6066
IM Meraz, M Majidi, F Meng, R Shao, MJ Ha, S Neri, B Fang, SH Lin, ...
CIR-18-0874.[Europe PMC free article][Abstract][CrossRef][Google Scholar], 0
19
iDINGO—integrative differential network analysis in genomics with Shiny application
CA Class, MJ Ha, V Baladandayuthapani, KA Do
Bioinformatics 34 (7), 1243-1245, 2018
172018
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