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Yahui Long

Showing results (1-10 of 24) with videos related to

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BMC Bioinformatics|November 3, 2019
WMGHMDA: a novel weighted meta-graph-based model for predicting human microbe-disease association on heterogeneous information networkYahui Long, Jiawei Luo
IEEE Journal of Biomedical and Health Informatics|August 6, 2020
Association Mining to Identify Microbe Drug Interactions Based on Heterogeneous Network Embedding RepresentationYahui Long, Jiawei Luo
IEEE/ACM Transactions on Computational Biology and Bioinformatics|November 30, 2018
NTSHMDA: Prediction of Human Microbe-Disease Association Based on Random Walk by Integrating Network Topological SimilarityJiawei Luo, Yahui Long
BMC Bioinformatics|December 21, 2021
Class similarity network for coding and long non-coding RNA classificationYu Zhang, Yahui Long, Chee Keong Kwoh
BMC Bioinformatics|November 13, 2020
Deep learning based DNA:RNA triplex forming potential predictionYu Zhang, Yahui Long, Chee Keong Kwoh
Briefings in Bioinformatics|August 6, 2023
Identifying spatial domains of spatially resolved transcriptomics via multi-view graph convolutional networksXuejing Shi, Juntong Zhu, Yahui Long, et al.
Briefings in Bioinformatics|July 30, 2020
Predicting human microbe-disease associations via graph attention networks with inductive matrix completionYahui Long, Jiawei Luo, Yu Zhang, et al.
Briefings in Bioinformatics|December 23, 2024
STCGAN: a novel cycle-consistent generative adversarial network for spatial transcriptomics cellular deconvolutionBo Wang, Yahui Long, Yuting Bai, et al.
Bioinformatics (Oxford, England)|June 30, 2020
Predicting human microbe-drug associations via graph convolutional network with conditional random fieldYahui Long, Min Wu, Chee Keong Kwoh, et al.
Interdisciplinary Sciences, Computational Life Sciences|June 26, 2025
stGNN: Spatially Informed Cell-Type Deconvolution Based on Deep Graph Learning and Statistical ModelingJuntong Zhu, Daoyuan Wang, Siqi Chen, et al.
Pageof 3

Showing results (1-10 of 24) with videos related to

Sort By:
Pageof 3
BMC Bioinformatics|November 3, 2019
WMGHMDA: a novel weighted meta-graph-based model for predicting human microbe-disease association on heterogeneous information networkYahui Long, Jiawei Luo
IEEE Journal of Biomedical and Health Informatics|August 6, 2020
Association Mining to Identify Microbe Drug Interactions Based on Heterogeneous Network Embedding RepresentationYahui Long, Jiawei Luo
IEEE/ACM Transactions on Computational Biology and Bioinformatics|November 30, 2018
NTSHMDA: Prediction of Human Microbe-Disease Association Based on Random Walk by Integrating Network Topological SimilarityJiawei Luo, Yahui Long
BMC Bioinformatics|December 21, 2021
Class similarity network for coding and long non-coding RNA classificationYu Zhang, Yahui Long, Chee Keong Kwoh
BMC Bioinformatics|November 13, 2020
Deep learning based DNA:RNA triplex forming potential predictionYu Zhang, Yahui Long, Chee Keong Kwoh
Briefings in Bioinformatics|August 6, 2023
Identifying spatial domains of spatially resolved transcriptomics via multi-view graph convolutional networksXuejing Shi, Juntong Zhu, Yahui Long, et al.
Briefings in Bioinformatics|July 30, 2020
Predicting human microbe-disease associations via graph attention networks with inductive matrix completionYahui Long, Jiawei Luo, Yu Zhang, et al.
Briefings in Bioinformatics|December 23, 2024
STCGAN: a novel cycle-consistent generative adversarial network for spatial transcriptomics cellular deconvolutionBo Wang, Yahui Long, Yuting Bai, et al.
Bioinformatics (Oxford, England)|June 30, 2020
Predicting human microbe-drug associations via graph convolutional network with conditional random fieldYahui Long, Min Wu, Chee Keong Kwoh, et al.
Interdisciplinary Sciences, Computational Life Sciences|June 26, 2025
stGNN: Spatially Informed Cell-Type Deconvolution Based on Deep Graph Learning and Statistical ModelingJuntong Zhu, Daoyuan Wang, Siqi Chen, et al.
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