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Junru Jin

Showing results (21-30 of 25) with videos related to

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ACS Synthetic Biology|December 23, 2025
ABT-DDI: A Graph Transformer Model with Atomic-Bond Structure Awareness for Drug-Drug Interaction PredictionXu Guo, Jianbo Qiao, Siqi Chen, et al.
Genome Biology|October 17, 2022
iDNA-ABF: multi-scale deep biological language learning model for the interpretable prediction of DNA methylationsJunru Jin, Yingying Yu, Ruheng Wang, et al.
Nature Communications|May 12, 2025
A self-conformation-aware pre-training framework for molecular property prediction with substructure interpretabilityJianbo Qiao, Junru Jin, Ding Wang, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|February 16, 2023
Explainable Deep Hypergraph Learning Modeling the Peptide Secondary Structure PredictionYi Jiang, Ruheng Wang, Jiuxin Feng, et al.
Briefings in Bioinformatics|December 23, 2022
SiameseCPP: a sequence-based Siamese network to predict cell-penetrating peptides by contrastive learningXin Zhang, Lesong Wei, Xiucai Ye, et al.
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Showing results (21-30 of 25) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 25 results.
ACS Synthetic Biology|December 23, 2025
ABT-DDI: A Graph Transformer Model with Atomic-Bond Structure Awareness for Drug-Drug Interaction PredictionXu Guo, Jianbo Qiao, Siqi Chen, et al.
Genome Biology|October 17, 2022
iDNA-ABF: multi-scale deep biological language learning model for the interpretable prediction of DNA methylationsJunru Jin, Yingying Yu, Ruheng Wang, et al.
Nature Communications|May 12, 2025
A self-conformation-aware pre-training framework for molecular property prediction with substructure interpretabilityJianbo Qiao, Junru Jin, Ding Wang, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|February 16, 2023
Explainable Deep Hypergraph Learning Modeling the Peptide Secondary Structure PredictionYi Jiang, Ruheng Wang, Jiuxin Feng, et al.
Briefings in Bioinformatics|December 23, 2022
SiameseCPP: a sequence-based Siamese network to predict cell-penetrating peptides by contrastive learningXin Zhang, Lesong Wei, Xiucai Ye, et al.
Pageof 3