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Chunyan Ao

Showing results (1-10 of 19) with videos related to

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Briefings in Bioinformatics|December 1, 2021
NmRF: identification of multispecies RNA 2'-O-methylation modification sites from RNA sequencesChunyan Ao, Quan Zou, Liang Yu
Methods (San Diego, Calif.)|May 25, 2021
RFhy-m2G: Identification of RNA N2-methylguanosine modification sites based on random forest and hybrid featuresChunyan Ao, Quan Zou, Liang Yu
Current Medicinal Chemistry|September 17, 2021
Research Progress in Predicting DNA Methylation Modifications and the Relation with Human DiseasesChunyan Ao, Lin Gao, Liang Yu
Proteomics|June 13, 2019
Protein Function Prediction: From Traditional Classifier to Deep LearningZhibin Lv, Chunyan Ao, Quan Zou
Briefings in Functional Genomics|December 14, 2020
Prediction of bio-sequence modifications and the associations with diseasesChunyan Ao, Liang Yu, Quan Zou
BMC Biology|May 20, 2026
KmalPred: a deep learning framework for lysine malonylation site prediction using protein language model representationsShihu Jiao, Chunyan Ao, Quan Zou, et al.
Genomics|March 24, 2025
Feadm5C: Enhancing prediction of RNA 5-Methylcytosine modification sites with physicochemical molecular graph featuresDongdong Jiang, Chunyan Ao, Yan Li, et al.
BMC Biology|April 24, 2023
m5U-SVM: identification of RNA 5-methyluridine modification sites based on multi-view features of physicochemical features and distributed representationChunyan Ao, Xiucai Ye, Tetsuya Sakurai, et al.
Research (Washington, D.C.)|September 17, 2024
Biological Sequence Classification: A Review on Data and General MethodsChunyan Ao, Shihu Jiao, Yansu Wang, et al.
Briefings in Bioinformatics|March 5, 2022
Research progress of miRNA-disease association prediction and comparison of related algorithmsLiang Yu, Yujia Zheng, Bingyi Ju, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Briefings in Bioinformatics|December 1, 2021
NmRF: identification of multispecies RNA 2'-O-methylation modification sites from RNA sequencesChunyan Ao, Quan Zou, Liang Yu
Methods (San Diego, Calif.)|May 25, 2021
RFhy-m2G: Identification of RNA N2-methylguanosine modification sites based on random forest and hybrid featuresChunyan Ao, Quan Zou, Liang Yu
Current Medicinal Chemistry|September 17, 2021
Research Progress in Predicting DNA Methylation Modifications and the Relation with Human DiseasesChunyan Ao, Lin Gao, Liang Yu
Proteomics|June 13, 2019
Protein Function Prediction: From Traditional Classifier to Deep LearningZhibin Lv, Chunyan Ao, Quan Zou
Briefings in Functional Genomics|December 14, 2020
Prediction of bio-sequence modifications and the associations with diseasesChunyan Ao, Liang Yu, Quan Zou
BMC Biology|May 20, 2026
KmalPred: a deep learning framework for lysine malonylation site prediction using protein language model representationsShihu Jiao, Chunyan Ao, Quan Zou, et al.
Genomics|March 24, 2025
Feadm5C: Enhancing prediction of RNA 5-Methylcytosine modification sites with physicochemical molecular graph featuresDongdong Jiang, Chunyan Ao, Yan Li, et al.
BMC Biology|April 24, 2023
m5U-SVM: identification of RNA 5-methyluridine modification sites based on multi-view features of physicochemical features and distributed representationChunyan Ao, Xiucai Ye, Tetsuya Sakurai, et al.
Research (Washington, D.C.)|September 17, 2024
Biological Sequence Classification: A Review on Data and General MethodsChunyan Ao, Shihu Jiao, Yansu Wang, et al.
Briefings in Bioinformatics|March 5, 2022
Research progress of miRNA-disease association prediction and comparison of related algorithmsLiang Yu, Yujia Zheng, Bingyi Ju, et al.
Pageof 2