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Rao Zeng

Showing results (1-10 of 9) with videos related to

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Frontiers in Bioengineering and Biotechnology|May 7, 2020
Developing a Multi-Layer Deep Learning Based Predictive Model to Identify DNA N4-Methylcytosine ModificationsRao Zeng, Minghong Liao
Frontiers in Cell and Developmental Biology|May 27, 2021
4mCPred-MTL: Accurate Identification of DNA 4mC Sites in Multiple Species Using Multi-Task Deep Learning Based on Multi-Head Attention MechanismRao Zeng, Song Cheng, Minghong Liao
Frontiers in Genetics|December 26, 2022
Single-cell RNA-seq data analysis using graph autoencoders and graph attention networksXiang Feng, Fang Fang, Haixia Long, et al.
Frontiers in Medicine|May 22, 2023
DRSN4mCPred: accurately predicting sites of DNA N4-methylcytosine using deep residual shrinkage network for diagnosis and treatment of gastrointestinal cancer in the precision medicine eraXia Yu, Jia Ren, Yani Cui, et al.
IEEE Transactions on Computational Biology and Bioinformatics|December 11, 2025
A Multi-modal Contrastive Learning Framework for Cyclic Peptide Permeability PredictionShuwen Xiong, Feifei Cui, Zilong Zhang, et al.
Frontiers in Genetics|May 1, 2024
iDNA-OpenPrompt: OpenPrompt learning model for identifying DNA methylationXia Yu, Jia Ren, Haixia Long, et al.
Bioinformatics (Oxford, England)|October 3, 2021
iDNA-ABT: advanced deep learning model for detecting DNA methylation with adaptive features and transductive information maximizationYingying Yu, Wenjia He, Junru Jin, et al.
Plos One|October 31, 2024
iDNA-ITLM: An interpretable and transferable learning model for identifying DNA methylationXia Yu, Cui Yani, Zhichao Wang, et al.
Sensors (Basel, Switzerland)|December 23, 2022
IGWO-IVNet3: DL-Based Automatic Diagnosis of Lung Nodules Using an Improved Gray Wolf Optimization and InceptionNet-V3Anas Bilal, Muhammad Shafiq, Fang Fang, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Frontiers in Bioengineering and Biotechnology|May 7, 2020
Developing a Multi-Layer Deep Learning Based Predictive Model to Identify DNA N4-Methylcytosine ModificationsRao Zeng, Minghong Liao
Frontiers in Cell and Developmental Biology|May 27, 2021
4mCPred-MTL: Accurate Identification of DNA 4mC Sites in Multiple Species Using Multi-Task Deep Learning Based on Multi-Head Attention MechanismRao Zeng, Song Cheng, Minghong Liao
Frontiers in Genetics|December 26, 2022
Single-cell RNA-seq data analysis using graph autoencoders and graph attention networksXiang Feng, Fang Fang, Haixia Long, et al.
Frontiers in Medicine|May 22, 2023
DRSN4mCPred: accurately predicting sites of DNA N4-methylcytosine using deep residual shrinkage network for diagnosis and treatment of gastrointestinal cancer in the precision medicine eraXia Yu, Jia Ren, Yani Cui, et al.
IEEE Transactions on Computational Biology and Bioinformatics|December 11, 2025
A Multi-modal Contrastive Learning Framework for Cyclic Peptide Permeability PredictionShuwen Xiong, Feifei Cui, Zilong Zhang, et al.
Frontiers in Genetics|May 1, 2024
iDNA-OpenPrompt: OpenPrompt learning model for identifying DNA methylationXia Yu, Jia Ren, Haixia Long, et al.
Bioinformatics (Oxford, England)|October 3, 2021
iDNA-ABT: advanced deep learning model for detecting DNA methylation with adaptive features and transductive information maximizationYingying Yu, Wenjia He, Junru Jin, et al.
Plos One|October 31, 2024
iDNA-ITLM: An interpretable and transferable learning model for identifying DNA methylationXia Yu, Cui Yani, Zhichao Wang, et al.
Sensors (Basel, Switzerland)|December 23, 2022
IGWO-IVNet3: DL-Based Automatic Diagnosis of Lung Nodules Using an Improved Gray Wolf Optimization and InceptionNet-V3Anas Bilal, Muhammad Shafiq, Fang Fang, et al.
Pageof 1