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Kyuri Jo

Showing results (1-10 of 23) with videos related to

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IEEE Transactions on Computational Biology and Bioinformatics|December 15, 2025
DriverMONI: Cancer Driver Gene Prediction with Multimodal Deep Learning Integrating Multiomics Data and Condition-specific Network InformationJeongho Park, Kyuri Jo
BMC Research Notes|January 13, 2025
Comparative analysis of regression algorithms for drug response prediction using GDSC datasetSoojung Ha, Juho Park, Kyuri Jo
Computational and Structural Biotechnology Journal|May 18, 2026
TRACE-DDI: A Hybrid Framework of Transformer-GAT Context Encoder and Pathway-Anchored Knowledge Graphs for DDI PredictionJunku Kim, Taehyeok Seo, Kyuri Jo
Methods (San Diego, Calif.)|February 13, 2014
Time-series RNA-seq analysis package (TRAP) and its application to the analysis of rice, Oryza sativa L. ssp. Japonica, upon drought stressKyuri Jo, Hawk-Bin Kwon, Sun Kim
Bioinformatics (Oxford, England)|June 17, 2016
Influence maximization in time bounded network identifies transcription factors regulating perturbed pathwaysKyuri Jo, Inuk Jung, Ji Hwan Moon, et al.
Computers in Biology and Medicine|January 30, 2025
ExPDrug: Integration of an interpretable neural network and knowledge graph for pathway-based drug repurposingJunku Kim, Hojoong Jang, Youngjun Park, et al.
Scientific Reports|June 16, 2021
Inferring transcriptomic cell states and transitions only from time series transcriptome dataKyuri Jo, Inyoung Sung, Dohoon Lee, et al.
Bioinformatics (Oxford, England)|May 10, 2019
mirTime: identifying condition-specific targets of microRNA in time-series transcript data using Gaussian process model and spherical vector clusteringHyejin Kang, Hongryul Ahn, Kyuri Jo, et al.
BMC Bioinformatics|February 4, 2017
Prioritizing biological pathways by recognizing context in time-series gene expression dataJusang Lee, Kyuri Jo, Sunwon Lee, et al.
International Journal of Molecular Sciences|November 26, 2022
DRPreter: Interpretable Anticancer Drug Response Prediction Using Knowledge-Guided Graph Neural Networks and TransformerJihye Shin, Yinhua Piao, Dongmin Bang, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
IEEE Transactions on Computational Biology and Bioinformatics|December 15, 2025
DriverMONI: Cancer Driver Gene Prediction with Multimodal Deep Learning Integrating Multiomics Data and Condition-specific Network InformationJeongho Park, Kyuri Jo
BMC Research Notes|January 13, 2025
Comparative analysis of regression algorithms for drug response prediction using GDSC datasetSoojung Ha, Juho Park, Kyuri Jo
Computational and Structural Biotechnology Journal|May 18, 2026
TRACE-DDI: A Hybrid Framework of Transformer-GAT Context Encoder and Pathway-Anchored Knowledge Graphs for DDI PredictionJunku Kim, Taehyeok Seo, Kyuri Jo
Methods (San Diego, Calif.)|February 13, 2014
Time-series RNA-seq analysis package (TRAP) and its application to the analysis of rice, Oryza sativa L. ssp. Japonica, upon drought stressKyuri Jo, Hawk-Bin Kwon, Sun Kim
Bioinformatics (Oxford, England)|June 17, 2016
Influence maximization in time bounded network identifies transcription factors regulating perturbed pathwaysKyuri Jo, Inuk Jung, Ji Hwan Moon, et al.
Computers in Biology and Medicine|January 30, 2025
ExPDrug: Integration of an interpretable neural network and knowledge graph for pathway-based drug repurposingJunku Kim, Hojoong Jang, Youngjun Park, et al.
Scientific Reports|June 16, 2021
Inferring transcriptomic cell states and transitions only from time series transcriptome dataKyuri Jo, Inyoung Sung, Dohoon Lee, et al.
Bioinformatics (Oxford, England)|May 10, 2019
mirTime: identifying condition-specific targets of microRNA in time-series transcript data using Gaussian process model and spherical vector clusteringHyejin Kang, Hongryul Ahn, Kyuri Jo, et al.
BMC Bioinformatics|February 4, 2017
Prioritizing biological pathways by recognizing context in time-series gene expression dataJusang Lee, Kyuri Jo, Sunwon Lee, et al.
International Journal of Molecular Sciences|November 26, 2022
DRPreter: Interpretable Anticancer Drug Response Prediction Using Knowledge-Guided Graph Neural Networks and TransformerJihye Shin, Yinhua Piao, Dongmin Bang, et al.
Pageof 3