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Qinke Peng

Showing results (11-20 of 34) with videos related to

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Journal of Theoretical Biology|June 24, 2014
An effective haplotype assembly algorithm based on hypergraph partitioningXiao Chen, Qinke Peng, Libin Han, et al.
IEEE Transactions on Computational Biology and Bioinformatics|August 14, 2025
Compound Interaction Presentation Learning for MHC-peptide Binding Affinity PredictionRuimeng Li, Qinke Peng, Haozhou Li, et al.
Bioinformatics (Oxford, England)|August 14, 2020
Efficient and effective control of confounding in eQTL mapping studies through joint differential expression and Mendelian randomization analysesYue Fan, Huanhuan Zhu, Yanyi Song, et al.
IEEE Transactions on Neural Networks and Learning Systems|April 11, 2023
Graph Neural Networks With High-Order Polynomial Spectral FiltersZeyuan Zeng, Qinke Peng, Xu Mou, et al.
Briefings in Bioinformatics|October 23, 2024
ACLNDA: an asymmetric graph contrastive learning framework for predicting noncoding RNA-disease associations in heterogeneous graphsLaiyi Fu, ZhiYuan Yao, Yangyi Zhou, et al.
BMC Bioinformatics|March 1, 2026
Multimodal learning on heterogeneous subgraphs and LLMs representation for MHC-peptide binding affinity predictionRuimeng Li, Ying Wang, Haozhou Li, et al.
Communications Biology|June 21, 2022
TADfit is a multivariate linear regression model for profiling hierarchical chromatin domains on replicate Hi-C dataErhu Liu, Hongqiang Lyu, Qinke Peng, et al.
Science Advances|December 23, 2020
Predicting transcription factor binding in single cells through deep learningLaiyi Fu, Lihua Zhang, Emmanuel Dollinger, et al.
Briefings in Bioinformatics|August 17, 2023
KGETCDA: an efficient representation learning framework based on knowledge graph encoder from transformer for predicting circRNA-disease associationsJinyang Wu, Zhiwei Ning, Yidong Ding, et al.
IEEE Journal of Biomedical and Health Informatics|September 5, 2023
BertNDA: A Model Based on Graph-Bert and Multi-Scale Information Fusion for ncRNA-Disease Association PredictionZhiwei Ning, Jinyang Wu, Yidong Ding, et al.
Pageof 4

Showing results (11-20 of 34) with videos related to

Sort By:
Pageof 4
Journal of Theoretical Biology|June 24, 2014
An effective haplotype assembly algorithm based on hypergraph partitioningXiao Chen, Qinke Peng, Libin Han, et al.
IEEE Transactions on Computational Biology and Bioinformatics|August 14, 2025
Compound Interaction Presentation Learning for MHC-peptide Binding Affinity PredictionRuimeng Li, Qinke Peng, Haozhou Li, et al.
Bioinformatics (Oxford, England)|August 14, 2020
Efficient and effective control of confounding in eQTL mapping studies through joint differential expression and Mendelian randomization analysesYue Fan, Huanhuan Zhu, Yanyi Song, et al.
IEEE Transactions on Neural Networks and Learning Systems|April 11, 2023
Graph Neural Networks With High-Order Polynomial Spectral FiltersZeyuan Zeng, Qinke Peng, Xu Mou, et al.
Briefings in Bioinformatics|October 23, 2024
ACLNDA: an asymmetric graph contrastive learning framework for predicting noncoding RNA-disease associations in heterogeneous graphsLaiyi Fu, ZhiYuan Yao, Yangyi Zhou, et al.
BMC Bioinformatics|March 1, 2026
Multimodal learning on heterogeneous subgraphs and LLMs representation for MHC-peptide binding affinity predictionRuimeng Li, Ying Wang, Haozhou Li, et al.
Communications Biology|June 21, 2022
TADfit is a multivariate linear regression model for profiling hierarchical chromatin domains on replicate Hi-C dataErhu Liu, Hongqiang Lyu, Qinke Peng, et al.
Science Advances|December 23, 2020
Predicting transcription factor binding in single cells through deep learningLaiyi Fu, Lihua Zhang, Emmanuel Dollinger, et al.
Briefings in Bioinformatics|August 17, 2023
KGETCDA: an efficient representation learning framework based on knowledge graph encoder from transformer for predicting circRNA-disease associationsJinyang Wu, Zhiwei Ning, Yidong Ding, et al.
IEEE Journal of Biomedical and Health Informatics|September 5, 2023
BertNDA: A Model Based on Graph-Bert and Multi-Scale Information Fusion for ncRNA-Disease Association PredictionZhiwei Ning, Jinyang Wu, Yidong Ding, et al.
Pageof 4