Showing results 1 to 5 of 5
A gray box framework that optimizes a white box logical model using a black box optimizer for simulating cellular responses to perturbations Kim, Yunseong; Han, Younghyun; Hopper, Corbin; Lee, Jonghoon; Joo, Jae Il; Gong, Jeong-Ryeol; Lee, Chun-Kyung; et al, Cell Reports Methods, v.4, no.5, 2024-05 |
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen Menden, Michael P.; Wang, Dennis; Mason, Mike J.; Szalai, Bence; Bulusu, Krishna C.; Guan, Yuanfang; Yu, Thomas; et al, NATURE COMMUNICATIONS, v.10, 2019-06 |
Deep learning untangles the resistance mechanism of p53 reactivator in lung cancer cells Lee, Soo Min; Han, Younghyun; Cho, Kwang-Hyun, ISCIENCE, v.26, no.12, 2023-12 |
Network Inference Analysis Identifies SETDB1 as a Key Regulator for Reverting Colorectal Cancer Cells into Differentiated Normal-Like Cells Lee, Soobeom; Lee, Chansu; Hwang, Chae Young; Kim, Dongsan; Han, Younghyun; Hong, Sung Noh; Kim, Seok-Hyung; et al, MOLECULAR CANCER RESEARCH, v.18, no.1, pp.118 - 129, 2020-01 |
Predicting anticancer drug responses using deep learning based on cancer cell line gene expression profiles and drug molecular fingerprints Han, Younghyun; Kim, Juntae; Cho, Kwang-Hyun, Proc. 18th Int. Conf. on Systems Biology (ICSB2017), Proc. 18th Int. Conf. on Systems Biology (ICSB2017), 2017-08-07 |
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