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Ruheng Wang

Showing results (11-20 of 19) with videos related to

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Bioinformatics (Oxford, England)|February 2, 2024
NanoCon: contrastive learning-based deep hybrid network for nanopore methylation detectionChenglin Yin, Ruheng Wang, Jianbo Qiao, et al.
ACS Omega|August 11, 2025
EDNTOM: An Ensemble Learning and Weight Mechanism-Based Nanopore Methylation Detection ToolGe Tian, Chenglin Yin, Jianbo Qiao, et al.
IEEE Transactions on Neural Networks and Learning Systems|March 3, 2025
Multiview Deep Learning-Based Molecule Design and Structural Optimization Accelerates Inhibitor DiscoverChao Pang, Yu Wang, Yi Jiang, et al.
Nucleic Acids Research|February 16, 2023
DeepBIO: an automated and interpretable deep-learning platform for high-throughput biological sequence prediction, functional annotation and visualization analysisRuheng Wang, Yi Jiang, Junru Jin, 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.
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.
Computational Biology and Chemistry|October 30, 2025
DiffuScope: A diffusion-regularized autoencoder for spatial transcriptomic clusteringHua Shi, Ding Yi, Yang Cui, et al.
Briefings in Bioinformatics|August 12, 2025
DiffusionST: a deep generative diffusion model-based framework for enhancing spatial transcriptomics data quality and identifying spatial domainsYaxuan Cui, Yang Cui, Ruheng Wang, et al.
Biorxiv : the Preprint Server for Biology|November 24, 2025
Timing of immune checkpoint blockade shapes anti-tumor immunity via a clock-dependent chemokine axisJake N Lichterman, Tarun Srinivasan, Ruheng Wang, et al.
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Showing results (11-20 of 19) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 19 results.
Bioinformatics (Oxford, England)|February 2, 2024
NanoCon: contrastive learning-based deep hybrid network for nanopore methylation detectionChenglin Yin, Ruheng Wang, Jianbo Qiao, et al.
ACS Omega|August 11, 2025
EDNTOM: An Ensemble Learning and Weight Mechanism-Based Nanopore Methylation Detection ToolGe Tian, Chenglin Yin, Jianbo Qiao, et al.
IEEE Transactions on Neural Networks and Learning Systems|March 3, 2025
Multiview Deep Learning-Based Molecule Design and Structural Optimization Accelerates Inhibitor DiscoverChao Pang, Yu Wang, Yi Jiang, et al.
Nucleic Acids Research|February 16, 2023
DeepBIO: an automated and interpretable deep-learning platform for high-throughput biological sequence prediction, functional annotation and visualization analysisRuheng Wang, Yi Jiang, Junru Jin, 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.
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.
Computational Biology and Chemistry|October 30, 2025
DiffuScope: A diffusion-regularized autoencoder for spatial transcriptomic clusteringHua Shi, Ding Yi, Yang Cui, et al.
Briefings in Bioinformatics|August 12, 2025
DiffusionST: a deep generative diffusion model-based framework for enhancing spatial transcriptomics data quality and identifying spatial domainsYaxuan Cui, Yang Cui, Ruheng Wang, et al.
Biorxiv : the Preprint Server for Biology|November 24, 2025
Timing of immune checkpoint blockade shapes anti-tumor immunity via a clock-dependent chemokine axisJake N Lichterman, Tarun Srinivasan, Ruheng Wang, et al.
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