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Sangseon Lee
Sangseon Lee
Postdoctoral fellow at Institute of Computer Technology, Seoul National University, Korea
在 snu.ac.kr 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
442020
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
362020
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), e2021073118, 2021
312021
Sparse structure learning via graph neural networks for inductive document classification
Y Piao, S Lee, D Lee, S Kim
Proceedings of the AAAI conference on artificial intelligence 36 (10), 11165 …, 2022
292022
Venn-diaNet: venn diagram based network propagation analysis framework for comparing multiple biological experiments
B Hur, D Kang, S Lee, JH Moon, G Lee, S Kim
BMC bioinformatics 20, 1-12, 2019
272019
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
252023
Efficiency of methylated DNA immunoprecipitation bisulphite sequencing for whole-genome DNA methylation analysis
HM Jeong, S Lee, H Chae, RN Kim, MJ Kwon, E Oh, YL Choi, S Kim, ...
Epigenomics 8 (8), 1061-1077, 2016
202016
MIDAS: mining differentially activated subpaths of KEGG pathways from multi-class RNA-seq data
S Lee, Y Park, S Kim
Methods 124, 13-24, 2017
192017
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
192017
Learning cell-type-specific gene regulation mechanisms by multi-attention based deep learning with regulatory latent space
M Kang, S Lee, D Lee, S Kim
Frontiers in Genetics 11, 869, 2020
162020
Subtype-specific CpG island shore methylation and mutation patterns in 30 breast cancer cell lines
H Chae, S Lee, KP Nephew, S Kim
BMC Systems Biology 10, 433-443, 2016
162016
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, 564792, 2020
132020
PRISM: methylation pattern-based, reference-free inference of subclonal makeup
D Lee, S Lee, S Kim
Bioinformatics 35 (14), i520-i529, 2019
122019
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
112019
Network propagation for the analysis of multi-omics data
M Pak, D Jeong, JH Moon, H Ann, B Hur, S Lee, S Kim
Recent Advances in Biological Network Analysis: Comparative Network Analysis …, 2021
92021
On modeling and utilizing chemical compound information with deep learning technologies: A task-oriented approach
S Lim, S Lee, Y Piao, MG Choi, D Bang, J Gu, S Kim
Computational and Structural Biotechnology Journal 20, 4288-4304, 2022
82022
StressGenePred: a twin prediction model architecture for classifying the stress types of samples and discovering stress-related genes in arabidopsis
D Kang, H Ahn, S Lee, CJ Lee, J Hur, W Jung, S Kim
BMC genomics 20, 1-13, 2019
8*2019
BioVLAB-mCpG-SNP-EXPRESS: a system for multi-level and multi-perspective analysis and exploration of dna methylation, sequence variation (SNPs), and gene expression from multi …
H Chae, S Lee, S Seo, D Jung, H Chang, KP Nephew, S Kim
Methods 111, 64-71, 2016
62016
Improved drug response prediction by drug target data integration via network-based profiling
M Pak, S Lee, I Sung, B Koo, S Kim
Briefings in Bioinformatics 24 (2), bbad034, 2023
52023
Mldeg: A machine learning approach to identify differentially expressed genes using network property and network propagation
JH Moon, S Lee, M Pak, B Hur, S Kim
IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (4 …, 2021
52021
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