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Sangsoo Lim
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2020 – today
- 2022
- [c2]Jungwoo Kim, Sangsoo Lim, Sangseon Lee, Changyun Cho, Sun Kim:
Embedding of FDA Approved Drugs in Chemical Space Using Cascade Autoencoder with Metric Learning. BigComp 2022: 363-365 - 2021
- [j6]Sungjoon Park, Dohoon Lee, Youngkuk Kim, Sangsoo Lim, Heejoon Chae, Sun Kim:
BioVLAB-Cancer-Pharmacogenomics: tumor heterogeneity and pharmacogenomics analysis of multi-omics data from tumor on the cloud. Bioinform. 38(1): 275-277 (2021) - 2020
- [j5]Sangsoo Lim, Sangseon Lee, Inuk Jung, SungMin Rhee, Sun Kim:
Comprehensive and critical evaluation of individualized pathway activity measurement tools on pan-cancer data. Briefings Bioinform. 21(1): 36-46 (2020) - [j4]Sangseon Lee, Sangsoo Lim, Taeheon Lee, Inyoung Sung, Sun Kim:
Cancer subtype classification and modeling by pathway attention and propagation. Bioinform. 36(12): 3818-3824 (2020)
2010 – 2019
- 2017
- [j3]Ji Hwan Moon, Sangsoo Lim, Kyuri Jo, Sangseon Lee, Seokjun Seo, Sun Kim:
PINTnet: construction of condition-specific pathway interaction network by computing shortest paths on weighted PPI. BMC Syst. Biol. 11(S-2): 15:1-15:13 (2017) - [j2]SungMin Rhee, Sangsoo Lim, Sun Kim:
Iterative segmented least square method for functional microRNA-mRNA module discovery in breast cancer. Int. J. Data Min. Bioinform. 17(1): 25-41 (2017) - 2016
- [j1]Jinwoo Park, Benjamin Hur, SungMin Rhee, Sangsoo Lim, Min-Su Kim, Kwangsoo Kim, Wonshik Han, Sun Kim:
Information theoretic sub-network mining characterizes breast cancer subtypes in terms of cancer core mechanisms. J. Bioinform. Comput. Biol. 14(5): 1644002:1-1644002:23 (2016) - [c1]SungMin Rhee, Sangsoo Lim, Sun Kim:
Iterative segmented least square method for functional microRNA-mRNA module discovery in breast cancer. BIBM 2016: 767-770
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