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2020 – today
- 2024
[j99]Dongmin Bang, Bonil Koo, Sun Kim:
Transfer learning of condition-specific perturbation in gene interactions improves drug response prediction. Bioinform. 40(Supplement_1): i130-i139 (2024)- [j98]Magsarjav Bataa, Siwoo Song, Kunsoo Park
, Miran Kim, Jung Hee Cheon, Sun Kim:
Finding Highly Similar Regions of Genomic Sequences Through Homomorphic Encryption. J. Comput. Biol. 31(3): 197-212 (2024) - [c69]Danyeong Lee, Dohoon Lee, Dongmin Bang, Sun Kim:
DiSCO: Diffusion Schrödinger Bridge for Molecular Conformer Optimization. AAAI 2024: 13365-13373 - [c68]Yinhua Piao, Sangseon Lee, Yijingxiu Lu, Sun Kim:
Improving Out-of-Distribution Generalization in Graphs via Hierarchical Semantic Environments. CVPR 2024: 27621-27630 - [c67]Ohjoon Kwon, Donghyeon Jeon, Nayoung Choi, Gyu-Hwung Cho, Hwiyeol Jo, Changbong Kim, Hyunwoo Lee, Inho Kang, Sun Kim, Taiwoo Park:
SLM as Guardian: Pioneering AI Safety with Small Language Model. EMNLP (Industry Track) 2024: 1333-1350 - [c66]Yijingxiu Lu, Yinhua Piao, Sun Kim:
Enhancing Drug-Drug Interaction Prediction with Context-Aware Architecture. Tiny Papers @ ICLR 2024 - [i14]Yinhua Piao, Sangseon Lee, Yijingxiu Lu, Sun Kim:
Improving out-of-distribution generalization in graphs via hierarchical semantic environments. CoRR abs/2403.01773 (2024) - [i13]Hwiyeol Jo, Taiwoo Park, Nayoung Choi, Changbong Kim, Ohjoon Kwon, Donghyeon Jeon, Hyunwoo Lee, Eui-Hyeon Lee, Kyoungho Shin, Sun Suk Lim, Kyungmi Kim, Jihye Lee, Sun Kim:
Taxonomy and Analysis of Sensitive User Queries in Generative AI Search. CoRR abs/2404.08672 (2024) - [i12]Ohjoon Kwon, Donghyeon Jeon, Nayoung Choi, Gyu-Hwung Cho, Changbong Kim, Hyunwoo Lee, Inho Kang, Sun Kim, Taiwoo Park:
SLM as Guardian: Pioneering AI Safety with Small Language Models. CoRR abs/2405.19795 (2024) - 2023
- [j97]Minwoo Pak, Sangseon Lee, Inyoung Sung, Bonil Koo, Sun Kim:
Improved drug response prediction by drug target data integration via network-based profiling. Briefings Bioinform. 24(2) (2023) - [j96]Jeonghyeon Gu, Dongmin Bang, Jungseob Yi, Sangseon Lee, Dong Kyu Kim, Sun Kim:
A model-agnostic framework to enhance knowledge graph-based drug combination prediction with drug-drug interaction data and supervised contrastive learning. Briefings Bioinform. 24(5) (2023) - [j95]Dabin Jeong, Bonil Koo, Minsik Oh, Tae-Bum Kim, Sun Kim:
GOAT: Gene-level biomarker discovery from multi-Omics data using graph ATtention neural network for eosinophilic asthma subtype. Bioinform. 39(10) (2023) - [j94]Dohoon Lee, Bonil Koo, Jeewon Yang, Sun Kim:
Metheor: Ultrafast DNA methylation heterogeneity calculation from bisulfite read alignments. PLoS Comput. Biol. 19(3) (2023) - [c65]Nayeon Kim, Yinhua Piao, Sun Kim:
Clinical Note Owns its Hierarchy: Multi-Level Hypergraph Neural Networks for Patient-Level Representation Learning. ACL (1) 2023: 5559-5573 - [c64]Jeewon Yang, Dohoon Lee, Bonil Koo, Dabin Jeong, Sun Kim:
Deep learning-based survival prediction using DNA methylation-derived 3D genomic information. BCB 2023: 7:1-7:14 - [i11]Nayeon Kim, Yinhua Piao, Sun Kim:
Clinical Note Owns its Hierarchy: Multi-Level Hypergraph Neural Networks for Patient-Level Representation Learning. CoRR abs/2305.09756 (2023) - 2022
- [j93]Inyoung Sung, Sangseon Lee, Minwoo Pak, Yunyol Shin, Sun Kim:
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. BMC Bioinform. 23-S(3): 149 (2022) - [j92]Youngchun Kwon, Sun Kim, Youn-Suk Choi, Seokho Kang:
Generative Modeling to Predict Multiple Suitable Conditions for Chemical Reactions. J. Chem. Inf. Model. 62(23): 5952-5960 (2022) - [j91]Ji Hwan Moon, Sangseon Lee, Minwoo Pak, Benjamin Hur, Sun Kim:
MLDEG: A Machine Learning Approach to Identify Differentially Expressed Genes Using Network Property and Network Propagation. IEEE ACM Trans. Comput. Biol. Bioinform. 19(4): 2356-2364 (2022) - [c63]Yinhua Piao, Sangseon Lee, Dohoon Lee, Sun Kim:
Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification. AAAI 2022: 11165-11173 - [c62]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 - [i10]MinGyu Choi, Wonseok Shin, Yijingxiu Lu, Sun Kim:
Triangular Contrastive Learning on Molecular Graphs. CoRR abs/2205.13279 (2022) - [i9]Sangseon Lee, Dohoon Lee, Yinhua Piao, Sun Kim:
SPGP: Structure Prototype Guided Graph Pooling. CoRR abs/2209.07817 (2022) - 2021
- [j90]Minsik Oh, Sungjoon Park, Sun Kim, Heejoon Chae:
Machine learning-based analysis of multi-omics data on the cloud for investigating gene regulations. Briefings Bioinform. 22(1): 66-76 (2021) - [j89]Minsik Oh, Sungjoon Park, Sun Kim, Heejoon Chae:
Erratum to: Machine learning-based analysis of multi-omics data on the cloud for investigating gene regulations. Briefings Bioinform. 22(1): 607 (2021) - [j88]Dohoon Lee, Youngjune Park, Sun Kim:
Towards multi-omics characterization of tumor heterogeneity: a comprehensive review of statistical and machine learning approaches. Briefings Bioinform. 22(3) (2021) - [j87]Hyejin Kang, Hongryul Ahn, Kyuri Jo, Minsik Oh, Sun Kim:
mirTime: identifying condition-specific targets of microRNA in time-series transcript data using Gaussian process model and spherical vector clustering. Bioinform. 37(11): 1544-1553 (2021) - [j86]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) - [j85]Sun Kim:
A generalization of the modular equations of higher degrees. J. Comb. Theory A 180: 105420 (2021) - [j84]Sangseon Lee, Taeheon Lee, Yung-Kyun Noh, Sun Kim:
Ranked k-Spectrum Kernel for Comparative and Evolutionary Comparison of Exons, Introns, and CpG Islands. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 1174-1183 (2021) - [c61]Rezarta Islamaj, Dongseop Kwon, Sun Kim, Zhiyong Lu:
TeamTat: A Collaborative Text Annotation Tool for Creating Gold-Standard Corpora. AMIA 2021 - [c60]Inyoung Kim, Sangseon Lee, Youngkuk Kim, Hugh Namkoong, Sun Kim:
A probabilistic model for pathway-guided gene set selection. BIBM 2021: 2733-2740 - [c59]Hongryul Ahn, Inuk Jung, Heejoon Chae, Minsik Oh, Inyoung Kim, Sun Kim:
IDEA: Integrating Divisive and Ensemble-Agglomerate hierarchical clustering framework for arbitrary shape data. IEEE BigData 2021: 2791-2800 - [i8]Cheng Wang, Sun Kim, Taiwoo Park, Sajal Choudhary, Sunghyun Park, Young-Bum Kim, Ruhi Sarikaya, Sungjin Lee:
Handling Long-Tail Queries with Slice-Aware Conversational Systems. CoRR abs/2104.13216 (2021) - [i7]Yinhua Piao, Sangseon Lee, Dohoon Lee, Sun Kim:
Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification. CoRR abs/2112.06386 (2021) - 2020
- [j83]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) - [j82]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) - [j81]Lana Yeganova, Sun Kim, Qingyu Chen, Grigory Balasanov, W. John Wilbur, Zhiyong Lu:
Better synonyms for enriching biomedical search. J. Am. Medical Informatics Assoc. 27(12): 1894-1902 (2020) - [j80]Qingyu Chen, Jingcheng Du, Sun Kim, W. John Wilbur, Zhiyong Lu:
Deep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical records. BMC Medical Informatics Decis. Mak. 20-S(1): 73 (2020) - [j79]Rezarta Islamaj Dogan, Dongseop Kwon, Sun Kim, Zhiyong Lu:
TeamTat: a collaborative text annotation tool. Nucleic Acids Res. 48(Webserver-Issue): W5-W11 (2020) - [j78]Qingyu Chen, Kyubum Lee, Shankai Yan, Sun Kim, Chih-Hsuan Wei, Zhiyong Lu:
BioConceptVec: Creating and evaluating literature-based biomedical concept embeddings on a large scale. PLoS Comput. Biol. 16(4) (2020) - [c58]Magsarjav Bataa, Siwoo Song, Kunsoo Park, Miran Kim, Jung Hee Cheon, Sun Kim:
Homomorphic Computation of Local Alignment. BIBM 2020: 2167-2174 - [i6]Rezarta Islamaj Dogan, Dongseop Kwon, Sun Kim, Zhiyong Lu:
TeamTat: a collaborative text annotation tool. CoRR abs/2004.11894 (2020)
2010 – 2019
- 2019
- [j77]Rezarta Islamaj Dogan, Sun Kim, Andrew Chatr-aryamontri, Chih-Hsuan Wei, Donald C. Comeau, Rui Antunes, Sérgio Matos, Qingyu Chen, Aparna Elangovan, Nagesh C. Panyam, Karin Verspoor, Hongfang Liu, Yanshan Wang, Zhuang Liu, Berna Altinel, Zehra Melce Hüsünbeyi, Arzucan Özgür, Aris Fergadis, Chen-Kai Wang, Hong-Jie Dai, Tung Tran, Ramakanth Kavuluru, Ling Luo, Albert Steppi, Jinfeng Zhang, Jinchan Qu, Zhiyong Lu:
Overview of the BioCreative VI Precision Medicine Track: mining protein interactions and mutations for precision medicine. Database J. Biol. Databases Curation 2019: bay147 (2019) - [j76]Do-Hoon Lee, Sangseon Lee, Sun Kim:
PRISM: methylation pattern-based, reference-free inference of subclonal makeup. Bioinform. 35(14): i520-i529 (2019) - [j75]Yeongjun Jang, Jihae Seo, Insu Jang, Byungwook Lee, Sun Kim, Sanghyuk Lee:
CaPSSA: visual evaluation of cancer biomarker genes for patient stratification and survival analysis using mutation and expression data. Bioinform. 35(24): 5341-5343 (2019) - [j74]Hongryul Ahn, Inuk Jung, Heejoon Chae, Dongwon Kang, Woosuk Jung, Sun Kim:
HTRgene: a computational method to perform the integrated analysis of multiple heterogeneous time-series data: case analysis of cold and heat stress response signaling genes in Arabidopsis. BMC Bioinform. 20-S(16): 588:1-588:14 (2019) - [j73]Benjamin Hur, Dongwon Kang, Sangseon Lee, Ji Hwan Moon, Gung Lee, Sun Kim:
Venn-diaNet : venn diagram based network propagation analysis framework for comparing multiple biological experiments. BMC Bioinform. 20-S(23): 667 (2019) - [j72]Sungjoon Park, Minsu Kim, Seokjun Seo, Seungwan Hong, Kyoohyung Han, Keewoo Lee, Jung Hee Cheon, Sun Kim:
A secure SNP panel scheme using homomorphically encrypted K-mers without SNP calling on the user side. BMC Genom. 20(S2) (2019) - [j71]Alexis Allot, Qingyu Chen, Sun Kim, Roberto Vera Alvarez, Donald C. Comeau, W. John Wilbur, Zhiyong Lu:
LitSense: making sense of biomedical literature at sentence level. Nucleic Acids Res. 47(Webserver-Issue): W594-W599 (2019) - [c57]Qingyu Chen, Jingcheng Du, Sun Kim, W. John Wilbur, Zhiyong Lu:
Evaluation of Five Sentence Similarity Models on Electronic Medical Records. BCB 2019: 533 - [c56]Hongryul Ahn, Seunghyun Son, Sun Kim:
DeepFunNet: Deep Learning for Gene Functional Similarity Network Construction. BigComp 2019: 1-8 - [i5]Qingyu Chen, Jingcheng Du, Sun Kim, W. John Wilbur, Zhiyong Lu:
Deep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical records. CoRR abs/1909.03044 (2019) - [i4]Qingyu Chen, Kyubum Lee, Shankai Yan, Sun Kim, Chih-Hsuan Wei, Zhiyong Lu:
BioConceptVec: creating and evaluating literature-based biomedical concept embeddings on a large scale. CoRR abs/1912.10846 (2019) - 2018
- [j70]Seokjun Seo, Minsik Oh, Youngjune Park, Sun Kim:
DeepFam: deep learning based alignment-free method for protein family modeling and prediction. Bioinform. 34(13): i254-i262 (2018) - [j69]Inyoung Kim, Saemi Choi, Sun Kim:
BRCA-Pathway: a structural integration and visualization system of TCGA breast cancer data on KEGG pathways. BMC Bioinform. 19-S(1): 63-72 (2018) - [j68]Lana Yeganova, Sun Kim, Grigory Balasanov, W. John Wilbur:
Discovering themes in biomedical literature using a projection-based algorithm. BMC Bioinform. 19(1): 269:1-269:12 (2018) - [j67]Inuk Jung, Hyejin Kang, Jang Uk Kim, Hyeonsook Chang, Sun Kim, Woosuk Jung:
The mRNA and miRNA transcriptomic landscape of Panax ginseng under the high ambient temperature. BMC Syst. Biol. 12(S-2): 117-130 (2018) - [j66]Joungmin Choi, Yoonjae Park, Sun Kim, Heejoon Chae:
Cloud-BS: A MapReduce-based bisulfite sequencing aligner on cloud. J. Bioinform. Comput. Biol. 16(6): 1840028:1-1840028:10 (2018) - [j65]Dongseop Kwon, Sun Kim, Chih-Hsuan Wei, Robert Leaman, Zhiyong Lu:
ezTag: tagging biomedical concepts via interactive learning. Nucleic Acids Res. 46(Webserver-Issue): W523-W529 (2018) - [j64]Bruce C. Berndt, Sun Kim, Alexandru Zaharescu:
The Circle Problem of Gauss and the Divisor Problem of Dirichlet - Still Unsolved. Am. Math. Mon. 125(2): 99-114 (2018) - [j63]Sun Kim:
Editorial for Selected Papers of a Joint Conferences, Genome Informatics Workshop/International Conference on Bioinformatics (GIW/InCoB) 2015. IEEE ACM Trans. Comput. Biol. Bioinform. 15(6): 1821 (2018) - [c55]Qingyu Chen, Sun Kim, W. John Wilbur, Zhiyong Lu:
Sentence Similarity Measures Revisited: Ranking Sentences in PubMed Documents. BCB 2018: 531-532 - [c54]Hongryul Ahn, Inuk Jung, Heejoon Chae, Dongwon Kang, Woosuk Jung, Sun Kim:
HTRgene: Integrating Multiple Heterogeneous Time-series Data to Investigate Cold and Heat Stress Response Signaling Genes in Arabidopsis. BIBM 2018: 393-398 - [c53]Dongwon Kang, Hongryul Ahn, Sangseon Lee, Chai-Jin Lee, Jihye Hur, Woosuk Jung, Sun Kim:
Identifying stress-related genes and predicting stress types in Arabidopsis using logical correlation layer and CMCL loss through time-series data. BIBM 2018: 399-404 - [c52]SungMin Rhee, Seokjun Seo, Sun Kim:
Hybrid Approach of Relation Network and Localized Graph Convolutional Filtering for Breast Cancer Subtype Classification. IJCAI 2018: 3527-3534 - [c51]Sunil Mohan, Nicolas Fiorini, Sun Kim, Zhiyong Lu:
A Fast Deep Learning Model for Textual Relevance in Biomedical Information Retrieval. WWW 2018: 77-86 - [i3]Sunil Mohan, Nicolas Fiorini, Sun Kim, Zhiyong Lu:
A Fast Deep Learning Model for Textual Relevance in Biomedical Information Retrieval. CoRR abs/1802.10078 (2018) - 2017
- [j62]Rezarta Islamaj Dogan, Sun Kim, Andrew Chatr-aryamontri, Christie S. Chang, Rose Oughtred, Jennifer M. Rust, W. John Wilbur, Donald C. Comeau, Kara Dolinski, Mike Tyers:
The BioC-BioGRID corpus: full text articles annotated for curation of protein-protein and genetic interactions. Database J. Biol. Databases Curation 2017: baw147 (2017) - [j61]Inuk Jung, Kyuri Jo, Hyejin Kang, Hongryul Ahn, Youngjae Yu, Sun Kim:
TimesVector: a vectorized clustering approach to the analysis of time series transcriptome data from multiple phenotypes. Bioinform. 33(23): 3827-3835 (2017) - [j60]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) - [j59]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) - [j58]Sun Kim, Nicolas Fiorini, W. John Wilbur, Zhiyong Lu:
Bridging the gap: Incorporating a semantic similarity measure for effectively mapping PubMed queries to documents. J. Biomed. Informatics 75: 122-127 (2017) - [c50]Sangseon Lee, Ji Hwan Moon, Youngjune Park, Sun Kim:
Flow maximization analysis of cell cycle pathway activation status in breast cancer subtypes. BigComp 2017: 91-95 - [c49]Hongryul Ahn, Heejoon Chae, Woosuk Jung, Sun Kim:
Integration of heterogeneous time series gene expression data by clustering on time dimension. BigComp 2017: 332-335 - [c48]Rezarta Islamaj Dogan, Andrew Chatr-aryamontri, Sun Kim, Chih-Hsuan Wei, Yifan Peng, Donald C. Comeau, Zhiyong Lu:
BioCreative VI Precision Medicine Track: creating a training corpus for mining protein-protein interactions affected by mutations. BioNLP 2017: 171-175 - [c47]Sunil Mohan, Nicolas Fiorini, Sun Kim, Zhiyong Lu:
Deep Learning for Biomedical Information Retrieval: Learning Textual Relevance from Click Logs. BioNLP 2017: 222-231 - [i2]SungMin Rhee, Seokjun Seo, Sun Kim:
Hybrid Approach of Relation Network and Localized Graph Convolutional Filtering for Breast Cancer Subtype Classification. CoRR abs/1711.05859 (2017) - 2016
- [j57]Sun Kim, Rezarta Islamaj Dogan, Andrew Chatr-aryamontri, Christie S. Chang, Rose Oughtred, Jennifer M. Rust, Riza Batista-Navarro, Jacob Carter, Sophia Ananiadou, Sérgio Matos, André Santos, David Campos, José Luís Oliveira, Onkar Singh, Jitendra Jonnagaddala, Hong-Jie Dai, Emily Chia-Yu Su, Yung-Chun Chang, Yu-Chen Su, Chun-Han Chu, Chien Chin Chen, Wen-Lian Hsu, Yifan Peng, Cecilia N. Arighi, Cathy H. Wu, K. Vijay-Shanker, Ferhat Aydin, Zehra Melce Hüsünbeyi, Arzucan Özgür, Soo-Yong Shin, Dongseop Kwon, Kara Dolinski, Mike Tyers, W. John Wilbur, Donald C. Comeau:
BioCreative V BioC track overview: collaborative biocurator assistant task for BioGRID. Database J. Biol. Databases Curation 2016 (2016) - [j56]Soo-Yong Shin, Sun Kim, W. John Wilbur, Dongseop Kwon:
BioC viewer: a web-based tool for displaying and merging annotations in BioC. Database J. Biol. Databases Curation 2016 (2016) - [j55]Kyuri Jo, Inuk Jung, Ji Hwan Moon, Sun Kim:
Influence maximization in time bounded network identifies transcription factors regulating perturbed pathways. Bioinform. 32(12): 128-136 (2016) - [j54]Sun Kim, Lana Yeganova, W. John Wilbur:
Meshable: searching PubMed abstracts by utilizing MeSH and MeSH-derived topical terms. Bioinform. 32(19): 3044-3046 (2016) - [j53]Jusang Lee, Kyuri Jo, Sunwon Lee, Jaewoo Kang, Sun Kim:
Prioritizing biological pathways by recognizing context in time-series gene expression data. BMC Bioinform. 17(S-17): 257-268 (2016) - [j52]Min-Su Kim, Benjamin Hur, Sun Kim:
RDDpred: a condition-specific RNA-editing prediction model from RNA-seq data. BMC Genom. 17(S-1): 5 (2016) - [j51]Inuk Jung, Hongryul Ahn, Seon-Ju Shin, Jukon Kim, Hawk-Bin Kwon, Woosuk Jung, Sun Kim:
Clustering and evolutionary analysis of small RNAs identify regulatory siRNA clusters induced under drought stress in rice. BMC Syst. Biol. 10(4): 423-432 (2016) - [j50]Heejoon Chae, Sangseon Lee, Kenneth P. Nephew, Sun Kim:
Subtype-specific CpG island shore methylation and mutation patterns in 30 breast cancer cell lines. BMC Syst. Biol. 10(4): 433-443 (2016) - [j49]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) - [c46]Sun Kim:
Networks and models for the integrated analysis of multi omics data. BIBM 2016: 6 - [c45]SungMin Rhee, Sangsoo Lim, Sun Kim:
Iterative segmented least square method for functional microRNA-mRNA module discovery in breast cancer. BIBM 2016: 767-770 - [c44]Lana Yeganova, Won Kim, Sun Kim, Rezarta Islamaj Dogan, Wanli Liu, Donald C. Comeau, Zhiyong Lu, W. John Wilbur:
PubTermVariants: biomedical term variants and their use for PubMed search. BioNLP@ACL 2016: 141-145 - [c43]Donald C. Comeau, Rezarta Islamaj Dogan, Sun Kim, Chih-Hsuan Wei, W. John Wilbur, Zhiyong Lu:
BioCconvert: A Conversion Tool Between BioC and PubAnnotation. ICBO/BioCreative 2016 - [i1]Sun Kim, W. John Wilbur, Zhiyong Lu:
Bridging the Gap: a Semantic Similarity Measure between Queries and Documents. CoRR abs/1608.01972 (2016) - 2015
- [j48]Heejoon Chae, SungMin Rhee, Kenneth P. Nephew, Sun Kim:
BioVLAB-MMIA-NGS: microRNA-mRNA integrated analysis using high-throughput sequencing data. Bioinform. 31(2): 265-267 (2015) - [j47]Sun Kim, Zhiyong Lu, W. John Wilbur:
Identifying named entities from PubMed®; for enriching semantic categories. BMC Bioinform. 16: 57:1-57:10 (2015) - [j46]Bruce C. Berndt, Sun Kim, Alexandru Zaharescu:
Weighted divisor sums and Bessel function series, V. J. Approx. Theory 197: 101-114 (2015) - [j45]Sun Kim, Haibin Liu, Lana Yeganova, W. John Wilbur:
Extracting drug-drug interactions from literature using a rich feature-based linear kernel approach. J. Biomed. Informatics 55: 23-30 (2015) - [c42]Sun Kim, Lana Yeganova, W. John Wilbur:
Summarizing Topical Contents from PubMed Documents Using a Thematic Analysis. EMNLP 2015: 805-810 - 2014
- [j44]Dongseop Kwon, Sun Kim, Soo-Yong Shin, Andrew Chatr-aryamontri, W. John Wilbur:
Assisting manual literature curation for protein-protein interactions using BioQRator. Database J. Biol. Databases Curation 2014 (2014) - [j43]Lana Yeganova, Won Kim, Sun Kim, W. John Wilbur:
Retro: concept-based clustering of biomedical topical sets. Bioinform. 30(22): 3240-3248 (2014) - [j42]Inuk Jung, Jong Chan Park, Sun Kim:
piClust: A density based piRNA clustering algorithm. Comput. Biol. Chem. 50: 60-67 (2014) - [j41]Wanli Liu, Rezarta Islamaj Dogan, Sun Kim, Donald C. Comeau, Won Kim, Lana Yeganova, Zhiyong Lu, W. John Wilbur:
Author name disambiguation for PubMed. J. Assoc. Inf. Sci. Technol. 65(4): 765-781 (2014) - [j40]Sun Kim, Ae Ja Yee:
Partitions with part difference conditions and Bressoud's conjecture. J. Comb. Theory A 126: 35-69 (2014) - [c41]Sun Kim, Haibin Liu, Lana Yeganova, W. John Wilbur:
Extracting drug-drug interactions from literature using a rich feature-based linear kernel approach. AMIA 2014 - [c40]Jaehyun An, Kwangsoo Kim, Sun Kim:
An algorithm for identifying differentially expressed genes in multiclass RNA-seq samples. BigComp 2014: 40-44 - 2013
- [j39]Cemal Çagatay Bilgin, Sun Kim, Elle Leung, Hang Chang, Bahram Parvin:
Integrated profiling of three dimensional cell culture models and 3D microscopy. Bioinform. 29(23): 3087-3093 (2013) - [j38]Heejoon Chae, Inuk Jung, Hyungro Lee, Suresh Marru, Seong-Whan Lee, Sun Kim:
Bio and health informatics meets cloud : BioVLab as an example. Health Inf. Sci. Syst. 1(1): 6 (2013) - [j37]Kyeong-Yeon Lee, Sun Kim:
Designing discriminative spatial filter vectors in motor imagery brain-computer interface. Int. J. Imaging Syst. Technol. 23(2): 147-151 (2013) - [j36]Jaehyun An, Kwangsoo Kim, SungMin Rhee, Heejoon Chae, Kenneth P. Nephew, Sun Kim:
Genome-Wide Analysis and Modeling of DNA methylation susceptibility in 30 Breast Cancer Cell Lines by using CPG Flanking Sequences. J. Bioinform. Comput. Biol. 11(3) (2013) - [j35]Sun Kim, Ae Ja Yee:
The Rogers-Ramanujan-Gordon identities, the generalized Göllnitz-Gordon identities, and parity questions. J. Comb. Theory A 120(5): 1038-1056 (2013) - [c39]Young Joon Yoo, Tushar Sandhan, Jin Young Choi, Sun Kim:
Towards simultaneous clustering and motif-modeling for a large number of protein family. BIBM 2013: 22-28 - 2012
- [j34]Sun Kim, Won Kim, Chih-Hsuan Wei, Zhiyong Lu, W. John Wilbur:
Prioritizing PubMed articles for the Comparative Toxicogenomic Database utilizing semantic information. Database J. Biol. Databases Curation 2012 (2012) - [j33]