Shotgun lipidomics for candidate biomarkers of urinary phospholipids in prostate cancer HK Min, S Lim, BC Chung, MH Moon Analytical and bioanalytical chemistry 399, 823-830, 2011 | 148 | 2011 |
A review on compound-protein interaction prediction methods: data, format, representation and model S Lim, Y Lu, CY Cho, I Sung, J Kim, Y Kim, S Park, S Kim Computational and Structural Biotechnology Journal 19, 1541-1556, 2021 | 73 | 2021 |
Measuring intratumor heterogeneity by network entropy using RNA-seq data Y Park, S Lim, JW Nam, S Kim Scientific reports 6 (1), 37767, 2016 | 57 | 2016 |
Cancer subtype classification and modeling by pathway attention and propagation S Lee, S Lim, T Lee, I Sung, S Kim Bioinformatics 36 (12), 3818-3824, 2020 | 44 | 2020 |
SREBP1c-PARP1 axis tunes anti-senescence activity of adipocytes and ameliorates metabolic imbalance in obesity G Lee, YY Kim, H Jang, JS Han, H Nahmgoong, YJ Park, SM Han, C Cho, ... Cell metabolism 34 (5), 702-718. e5, 2022 | 42 | 2022 |
Effect of ionization modifiers on the simultaneous analysis of all classes of phospholipids by nanoflow liquid chromatography/tandem mass spectrometry in negative ion mode DY Bang, S Lim, MH Moon Journal of Chromatography A 1240, 69-76, 2012 | 38 | 2012 |
Comprehensive and critical evaluation of individualized pathway activity measurement tools on pan-cancer data S Lim, S Lee, I Jung, S Rhee, S Kim Briefings in bioinformatics 21 (1), 36-46, 2020 | 36 | 2020 |
Computational approach to structural identification of phospholipids using raw mass spectra from nanoflow liquid chromatography–electrospray ionization–tandem mass spectrometry S Lim, SK Byeon, JY Lee, MH Moon Journal of mass spectrometry 47 (8), 1004-1014, 2012 | 33 | 2012 |
DNMT1 maintains metabolic fitness of adipocytes through acting as an epigenetic safeguard of mitochondrial dynamics YJ Park, S Lee, S Lim, H Nahmgoong, Y Ji, JY Huh, AA Alfadda, S Kim, ... Proceedings of the National Academy of Sciences 118 (11), 2021 | 31 | 2021 |
Discovery of candidate phospholipid biomarkers in human lipoproteins with coronary artery disease by flow field-flow fractionation and nanoflow liquid chromatography–tandem … SK Byeon, JY Lee, S Lim, D Choi, MH Moon Journal of Chromatography A 1270, 246-253, 2012 | 24 | 2012 |
Effect of d-allose on prostate cancer cell lines: phospholipid profiling by nanoflow liquid chromatography–tandem mass spectrometry RU Jeong, S Lim, MO Kim, MH Moon Analytical and bioanalytical chemistry 401, 689-698, 2011 | 24 | 2011 |
Protein interaction network (pin)-based breast cancer subsystem identification and activation measurement for prognostic modeling S Lim, Y Park, B Hur, M Kim, W Han, S Kim Methods 110, 81-89, 2016 | 23 | 2016 |
Top–down lipidomic analysis of human lipoproteins by chip-type asymmetrical flow field-flow fractionation–electrospray ionization-tandem mass spectrometry KH Kim, JY Lee, S Lim, MH Moon Journal of Chromatography A 1280, 92-97, 2013 | 22 | 2013 |
Characterization of oxidized phospholipids in oxidatively modified low density lipoproteins by nanoflow liquid chromatography–tandem mass spectrometry JY Lee, S Lim, S Park, MH Moon Journal of Chromatography A 1288, 54-62, 2013 | 20 | 2013 |
PINTnet: construction of condition-specific pathway interaction network by computing shortest paths on weighted PPI JH Moon, S Lim, K Jo, S Lee, S Seo, S Kim BMC systems biology 11, 1-13, 2017 | 18 | 2017 |
MONTI: a multi-omics non-negative tensor decomposition framework for gene-level integrative analysis I Jung, M Kim, S Rhee, S Lim, S Kim Frontiers in genetics 12, 682841, 2021 | 15 | 2021 |
Biomedical knowledge graph learning for drug repurposing by extending guilt-by-association to multiple layers D Bang, S Lim, S Lee, S Kim Nature Communications 14 (1), 3570, 2023 | 14 | 2023 |
DRIM: A web-based system for investigating drug response at the molecular level by condition-specific multi-omics data integration M Oh, S Park, S Lee, D Lee, S Lim, D Jeong, K Jo, I Jung, S Kim Frontiers in Genetics 11, 2020 | 12 | 2020 |
SpliceHetero: an information theoretic approach for measuring spliceomic intratumor heterogeneity from bulk tumor RNA-seq M Kim, S Lee, S Lim, S Kim PLoS One 14 (10), e0223520, 2019 | 11 | 2019 |
Enhancer prediction with histone modification marks using a hybrid neural network model A Lim, S Lim, S Kim Methods 166, 48-56, 2019 | 11 | 2019 |