Sun Kim

发表

LitSense: making sense of biomedical literature at sentence level

Donald C. Comeau, W. Wilbur, Zhiyong Lu, 2019, Nucleic Acids Res..

Identifying genetic interaction evidence passages in biomedical literature

Donald C. Comeau, W. Wilbur, R. Dogan, 2015 .

The BioCreative VI Precision Medicine Track corpus Selection , annotation and curation of protein-protein interactions affected by mutations in scientific literature

Zhiyong Lu, Kara Dolinski, Mike Tyers, 2017 .

BioQRator : a web-based interactive biomedical literature curating system

Dongseop Kwon, S. Shin, John Wilbur, 2013 .

Triangular Contrastive Learning on Molecular Graphs

Sun Kim, MinGyu Choi, Wonseok Shin, 2022, ArXiv.

On modeling and utilizing chemical compound information with deep learning technologies: A task-oriented approach

Sun Kim, Sangseon Lee, Sangsoo Lim, 2022, Computational and structural biotechnology journal.

Risk Stratification for Breast Cancer Patient by Simultaneous Learning of Molecular Subtype and Survival Outcome Using Genetic Algorithm-Based Gene Set Selection

Sun Kim, Sangseon Lee, Inyoung Sung, 2022, Cancers.

SPGP: Structure Prototype Guided Graph Pooling

Sun Kim, Sangseon Lee, Dohoon Lee, 2022, 2209.07817.

Single-cell transcriptome analyses reveal distinct gene expression signatures of severe COVID-19 in the presence of clonal hematopoiesis

Sun Kim, Inkyung Jung, Y. Koh, 2022, Experimental & Molecular Medicine.

Learning the histone codes with large genomic windows and three-dimensional chromatin interactions using transformer

Sun Kim, Dohoon Lee, Jeewon Yang, 2022, Nature Communications.

Multi-layer guilt-by-association-based drug repurposing by integrating clinical knowledge on biological heterogeneous networks

Sun Kim, Sangseon Lee, Sangsoo Lim, 2022, bioRxiv.

DRPreter: Interpretable Anticancer Drug Response Prediction Using Knowledge-Guided Graph Neural Networks and Transformer

Sun Kim, Jihye Shin, Kyuri Jo, 2022, International journal of molecular sciences.

Genetic Mining of HTML Structures for Effective Web-Document Retrieval

Byoung-Tak Zhang, Sun Kim, Byoung-Tak Zhang, 2003, Applied Intelligence.

Evolutionary learning of Web-document structure for information retrieval

Byoung-Tak Zhang, Sun Kim, Byoung-Tak Zhang, 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

Web-Document Retrieval by Genetic Learning of Importance Factors for HTML Tags

Byoung-Tak Zhang, Sun Kim, Byoung-Tak Zhang, 2000, PRICAI Workshop on Text and Web Mining.

AMLs harboring DNMT3A-destabilizing variants show increased intratumor DNA methylation heterogeneity at bivalent chromatin domains

Ji-Joon Song, Junshik Hong, Sun Kim, 2023, bioRxiv.

Improved drug response prediction by drug target data integration via network-based profiling

Sun Kim, Sangseon Lee, Inyoung Sung, 2023, Briefings Bioinform..

PIE: an online prediction system for protein–protein interactions from text

Byoung-Tak Zhang, In-Hee Lee, Soo-Yong Shin, 2008, Nucleic Acids Res..

AutoCoV: tracking the early spread of COVID-19 in terms of the spatial and temporal patterns from embedding space by K-mer based deep learning

Sun Kim, Sangseon Lee, Inyoung Sung, 2022, BMC Bioinformatics.

Extracting drug-drug interactions from literature using a rich feature-based linear kernel approach

Haibin Liu, W. John Wilbur, Sun Kim, 2015, AMIA.

Finding Cancer-Related Gene Combinations Using a Molecular Evolutionary Algorithm

Byoung-Tak Zhang, Sun Kim, Chan-Hoon Park, 2007, 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering.

Meshable: searching PubMed abstracts by utilizing MeSH and MeSH-derived topical terms

W. John Wilbur, Sun Kim, Lana Yeganova, 2016, Bioinform..

Use of Evolutionary Hypernetworks for Mining Prostate Cancer Data

Byoung-Tak Zhang, Sun Kim, Chan-Hoon Park, 2007 .

Ensembled support vector machines for human papillomavirus risk type prediction from protein secondary structures

Byoung-Tak Zhang, Sun Kim, Jeongmi Kim, 2009, Comput. Biol. Medicine.

Retro: concept-based clustering of biomedical topical sets

W. John Wilbur, Won Kim, Sun Kim, 2014, Bioinform..

Thematic clustering of text documents using an EM-based approach

W. Wilbur, Sun Kim, 2012, J. Biomed. Semant..

ezTag: tagging biomedical concepts via interactive learning

Zhiyong Lu, Sun Kim, Dongseop Kwon, 2018, Nucleic Acids Res..

Characterization of radiation-resistance mechanism in Spirosoma montaniterrae DY10T in terms of transcriptional regulatory system

Sun Kim, M. Kim, Dabin Jeong, 2023, Scientific Reports.

Bridging the gap: Incorporating a semantic similarity measure for effectively mapping PubMed queries to documents

W. Wilbur, Zhiyong Lu, Sun Kim, 2016, J. Biomed. Informatics.

NLM-Chem, a new resource for chemical entity recognition in PubMed full text literature

Donald C. Comeau, Dongseop Kwon, Robert Leaman, 2021, Scientific data.

Deep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical records

Jingcheng Du, Zhiyong Lu, Qingyu Chen, 2019, BMC Medical Informatics and Decision Making.

BioConceptVec: Creating and evaluating literature-based biomedical concept embeddings on a large scale

Zhiyong Lu, Chih-Hsuan Wei, Shankai Yan, 2019, PLoS Comput. Biol..

Author Name Disambiguation for PubMed

Wanli Liu, Zhiyong Lu, W. John Wilbur, 2013, J. Assoc. Inf. Sci. Technol..

A Fast Deep Learning Model for Textual Relevance in Biomedical Information Retrieval

Zhiyong Lu, Sunil Mohan, Nicolas Fiorini, 2018, WWW.

Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification

Sun Kim, Sangseon Lee, Dohoon Lee, 2021, AAAI.

Evaluation of Five Sentence Similarity Models on Electronic Medical Records

Jingcheng Du, Zhiyong Lu, Qingyu Chen, 2019, BCB.

BioCreative VI Precision Medicine Track: creating a training corpus for mining protein-protein interactions affected by mutations

Yifan Peng, Zhiyong Lu, Sun Kim, 2017, BioNLP.

EnsDTI-kinase: Web-server for Predicting Kinase-Inhibitor Interactions with Ensemble Computational Methods and Its Applications

Sun Kim, Sangsoo Lim, Soosung Kang, 2023, bioRxiv.

Bridging the Gap: a Semantic Similarity Measure between Queries and Documents pdf

Zhiyong Lu, W. John Wilbur, Sun Kim, 2016, ArXiv.

Evolving hypernetwork classifiers for microRNA expression profile analysis

Byoung-Tak Zhang, Sun Kim, Soo-Jin Kim, 2007, 2007 IEEE Congress on Evolutionary Computation.

Classifying Gene Sentences in Biomedical Literature by Combining High-Precision Gene Identifiers

W. John Wilbur, Won Kim, Sun Kim, 2012, BioNLP@HLT-NAACL.

Better synonyms for enriching biomedical search

Zhiyong Lu, Sun Kim, Lana Yeganova, 2020, J. Am. Medical Informatics Assoc..

Deep learning-based survival prediction using DNA methylation-derived 3D genomic information

Sun Kim, Dohoon Lee, Bonil Koo, 2023, bioRxiv.

Evaluation and optimization of sequence-based gene regulatory deep learning models

Carl G. de Boer, A. Regev, Payman Yadollahpour, 2023, bioRxiv.

A model-agnostic framework to enhance knowledge graph-based drug combination prediction with drug-drug interaction data and supervised contrastive learning.

Sun Kim, Sangseon Lee, D. Bang, 2023, Briefings in Bioinformatics.

SPGP: Structure Prototype Guided Graph Pooling

Sun Kim, Sangseon Lee, Dohoon Lee, 2022, ArXiv.

Bridging the gap: Incorporating a semantic similarity measure for effectively mapping PubMed queries to documents

W. Wilbur, Zhiyong Lu, Sun Kim, 2016, J. Biomed. Informatics.

PubMed Phrases, an open set of coherent phrases for searching biomedical literature

Zhiyong Lu, W. John Wilbur, Sun Kim, 2018, Scientific Data.

PubTermVariants: biomedical term variants and their use for PubMed search

Wanli Liu, Zhiyong Lu, W. John Wilbur, 2016, BioNLP@ACL.

Discovering themes in biomedical literature using a projection-based algorithm

W. Wilbur, Lana Yeganova, Sun Kim, 2018, BMC Bioinform..

Biomedical knowledge graph learning for drug repurposing by extending guilt-by-association to multiple layers

Sun Kim, Sangseon Lee, Sangsoo Lim, 2023, Nature communications.

Deep Learning for Biomedical Information Retrieval: Learning Textual Relevance from Click Logs

Zhiyong Lu, Sunil Mohan, Nicolas Fiorini, 2017, BioNLP.

Zhiyong Lu, Qingyu Chen, W. John Wilbur, 2018, BCB.

TeamTat: a collaborative text annotation tool

Zhiyong Lu, Dongseop Kwon, Rezarta Islamaj Dogan, 2020, Nucleic Acids Res..

Handling Long-Tail Queries with Slice-Aware Conversational Systems pdf

Ruhi Sarikaya, Taiwoo Park, Young-Bum Kim, 2021, ArXiv.

A Tree Kernel-Based Method for Protein-Protein Interaction Mining from Biomedical Literature

Byoung-Tak Zhang, Seong-Hwan Kim, Sun Kim, 2006, KDLL.

An EM Clustering Algorithm which Produces a Dual Representation

W. John Wilbur, Sun Kim, W. Wilbur, 2011, 2011 10th International Conference on Machine Learning and Applications and Workshops.

Exploring chemical space for lead identification by propagating on chemical similarity network

Sun Kim, Sangseon Lee, Sangsoo Lim, 2023, Computational and structural biotechnology journal.

Genetic Mining of HTML Structures for Effective Web-Document Retrieval

Byoung-Tak Zhang, Sun Kim, 2003, Applied Intelligence.

BioC viewer: a web-based tool for displaying and merging annotations in BioC

W. John Wilbur, Soo-Yong Shin, Sun Kim, 2016, Database J. Biol. Databases Curation.

Identifying named entities from PubMed® for enriching semantic categories

W. Wilbur, Zhiyong Lu, Sun Kim, 2015, BMC Bioinformatics.

Prioritizing PubMed articles for the Comparative Toxicogenomic Database utilizing semantic information

Zhiyong Lu, W. John Wilbur, Won Kim, 2012, Database J. Biol. Databases Curation.

Classifying protein-protein interaction articles using word and syntactic features

W. John Wilbur, Sun Kim, W. Wilbur, 2011, BMC Bioinformatics.

Overview of BioCreative V BioC Track

Mike Tyers, W. John Wilbur, Sun Kim, 2015 .

Ensembled support vector machines for human papillomavirus risk type prediction from protein secondary structures

Byoung-Tak Zhang, Jeong-Gyoon Kim, Sun Kim, 2009, Comput. Biol. Medicine.