Hur B, Kang D, Lee S, Moon JH, Lee G, Kim S. Venn-diaNet: Venn diagram based network propagation analysis framework for computing multiple biological experiments. 30th International Conference on Genome Informatics (GIW) 2019, Dec 9-11, Sydney, Australia.
Lee DH. Lee S, Kim S. PRISM: Methylation Pattern-based, Reference-free Inference of Subclonal Makeup. 27th conference on Intelligent Systems for Molecular Biology (ISMB) 2019, July 21-25, Basel, Switzerland.
Kang D, Ahn H, Lee S, Lee CJ, Hur J, Jung W, Kim S. Identifying stress-related genes and predicting stress types in Arabidopsis using logical correlation layer and CMCL loss through time-series data. IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2018, Dec 3-6, Madrid, Spain.
Lee S, Moon JH, Park Y, Kim S, Flow maximization analysis of cell cycle pathway activation status in breast cancer subtypes, IEEE International Conference on Big Data and Smart Computing (BigComp) 2017, Feb 13-16, Jeju, Korea.
Moon JH, Lim S, Jo K, Lee S, Seo S, Kim S, PINTnet: construction of condition-specic pathway interaction network by computing shortest paths on weighted PPI. 15th Asia Pacific Bioinformatics Conference (APBC) 2017, Jan 16-18, Shenzhen, China.
Chae H, Lee S, Nephew KP, Kim S, Subtype-specific CpG island shore methylation and mutation patterns in 30 breast cancer cell lines. 27th International Conference on Genome Informatics (GIW) 2016, Oct 3-5, Shanghai, China.
In Progress (*: Equal contributors)
Kang M*, Lee S*, Lee D, Kim S. Learning Cell-Type-Specific Gene Regulation Mechanisms by Multi-Attention Based Deep Learning with Regulatory Latent Space. In preparation for Frontiers in Genetics.
Moon JH, Lee S, Hur B, Kim S. MLDEG: A network-based ensemble model to identify differentially expressed genes consistently. In preparation for IEEE/ACM Transactions on Computational Biology and Bioinformatics.
Lee T, Lee S, Kang M, Sun Kim. Simultaneous Modelling of Hierarchy in GPCR Proteins with Deep Learning in a Single Metric Space. In preparation for European Conference on Computational Biology (ECCB) 2020.
Kim MS, Lee S, Lim S, Lee DY, Kim S. AttentiveCancer: an attention framework using subnetwork level representation of transcriptome for predicting lymph node metastasis in early oral cancer. In preparation for European Conference on Computational Biology (ECCB) 2020.