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Bo-Ya Ji

Showing results (1-10 of 8) with videos related to

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Scientific Reports|March 15, 2024
A multi-source molecular network representation model for protein-protein interactions predictionHai-Tao Zou, Bo-Ya Ji, Xiao-Lan Xie
Molecular Therapy. Nucleic Acids|January 11, 2021
Prediction of lncRNA-disease associations via an embedding learning HOPE in heterogeneous information networksJi-Ren Zhou, Zhu-Hong You, Li Cheng, et al.
Iscience|May 27, 2021
DANE-MDA: Predicting microRNA-disease associations via deep attributed network embeddingBo-Ya Ji, Zhu-Hong You, Yi Wang, et al.
Journal of Translational Medicine|September 7, 2020
Prediction of drug-target interactions from multi-molecular network based on LINE network representation methodBo-Ya Ji, Zhu-Hong You, Han-Jing Jiang, et al.
BMC Bioinformatics|September 11, 2020
NEMPD: a network embedding-based method for predicting miRNA-disease associations by preserving behavior and attribute informationBo-Ya Ji, Zhu-Hong You, Zhan-Heng Chen, et al.
Biology|May 28, 2022
SMMDA: Predicting miRNA-Disease Associations by Incorporating Multiple Similarity Profiles and a Novel Disease RepresentationBo-Ya Ji, Liang-Rui Pan, Ji-Ren Zhou, et al.
Scientific Reports|April 22, 2020
Predicting miRNA-disease association from heterogeneous information network with GraRep embedding modelBo-Ya Ji, Zhu-Hong You, Li Cheng, et al.
Briefings in Bioinformatics|November 29, 2022
SPRDA: a link prediction approach based on the structural perturbation to infer disease-associated Piwi-interacting RNAsKai Zheng, Xin-Lu Zhang, Lei Wang, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Scientific Reports|March 15, 2024
A multi-source molecular network representation model for protein-protein interactions predictionHai-Tao Zou, Bo-Ya Ji, Xiao-Lan Xie
Molecular Therapy. Nucleic Acids|January 11, 2021
Prediction of lncRNA-disease associations via an embedding learning HOPE in heterogeneous information networksJi-Ren Zhou, Zhu-Hong You, Li Cheng, et al.
Iscience|May 27, 2021
DANE-MDA: Predicting microRNA-disease associations via deep attributed network embeddingBo-Ya Ji, Zhu-Hong You, Yi Wang, et al.
Journal of Translational Medicine|September 7, 2020
Prediction of drug-target interactions from multi-molecular network based on LINE network representation methodBo-Ya Ji, Zhu-Hong You, Han-Jing Jiang, et al.
BMC Bioinformatics|September 11, 2020
NEMPD: a network embedding-based method for predicting miRNA-disease associations by preserving behavior and attribute informationBo-Ya Ji, Zhu-Hong You, Zhan-Heng Chen, et al.
Biology|May 28, 2022
SMMDA: Predicting miRNA-Disease Associations by Incorporating Multiple Similarity Profiles and a Novel Disease RepresentationBo-Ya Ji, Liang-Rui Pan, Ji-Ren Zhou, et al.
Scientific Reports|April 22, 2020
Predicting miRNA-disease association from heterogeneous information network with GraRep embedding modelBo-Ya Ji, Zhu-Hong You, Li Cheng, et al.
Briefings in Bioinformatics|November 29, 2022
SPRDA: a link prediction approach based on the structural perturbation to infer disease-associated Piwi-interacting RNAsKai Zheng, Xin-Lu Zhang, Lei Wang, et al.
Pageof 1