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Mengting Niu

Showing results (11-20 of 26) with videos related to

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BMC Biology|January 28, 2024
A computational model of circRNA-associated diseases based on a graph neural network: prediction and case studies for follow-up experimental validationMengting Niu, Chunyu Wang, Zhanguo Zhang, et al.
Briefings in Bioinformatics|September 29, 2021
Characterizing viral circRNAs and their application in identifying circRNAs in virusesMengting Niu, Ying Ju, Chen Lin, et al.
Plos Computational Biology|March 13, 2026
CFGSCDSA: Predicting circRNA-drug sensitivity associations based on collaborative feature learning and graph structure learningXue Zhang, Quan Zou, Chunyu Wang, et al.
BMC Biology|August 29, 2025
YModPred: an interpretable prediction method for multi-type RNA modification sites in S. cerevisiae based on deep learningChunyan Ao, Mengting Niu, Quan Zou, et al.
IEEE Journal of Biomedical and Health Informatics|March 29, 2021
rBPDL:Predicting RNA-Binding Proteins Using Deep LearningMengting Niu, Jin Wu, Quan Zou, et al.
Briefings in Bioinformatics|May 19, 2026
MuFGPS: enhancing liquid-liquid phase separation protein prediction through multi-level features and ensemble learningLei Xian, Quan Zou, Ren Qi, et al.
Briefings in Bioinformatics|January 27, 2024
Identification, characterization and expression analysis of circRNA encoded by SARS-CoV-1 and SARS-CoV-2Mengting Niu, Chunyu Wang, Yaojia Chen, et al.
Computers in Biology and Medicine|January 13, 2024
iTTCA-MVL: A multi-view learning model based on physicochemical information and sequence statistical information for tumor T cell antigens identificationShulin Zhao, Shibo Huang, Mengting Niu, et al.
BMC Biology|May 14, 2025
Interpretable multi-instance heterogeneous graph network learning modelling CircRNA-drug sensitivity association predictionMengting Niu, Chunyu Wang, Yaojia Chen, et al.
BMC Biology|February 26, 2024
CircRNA identification and feature interpretability analysisMengting Niu, Chunyu Wang, Yaojia Chen, et al.
Pageof 3

Showing results (11-20 of 26) with videos related to

Sort By:
Pageof 3
BMC Biology|January 28, 2024
A computational model of circRNA-associated diseases based on a graph neural network: prediction and case studies for follow-up experimental validationMengting Niu, Chunyu Wang, Zhanguo Zhang, et al.
Briefings in Bioinformatics|September 29, 2021
Characterizing viral circRNAs and their application in identifying circRNAs in virusesMengting Niu, Ying Ju, Chen Lin, et al.
Plos Computational Biology|March 13, 2026
CFGSCDSA: Predicting circRNA-drug sensitivity associations based on collaborative feature learning and graph structure learningXue Zhang, Quan Zou, Chunyu Wang, et al.
BMC Biology|August 29, 2025
YModPred: an interpretable prediction method for multi-type RNA modification sites in S. cerevisiae based on deep learningChunyan Ao, Mengting Niu, Quan Zou, et al.
IEEE Journal of Biomedical and Health Informatics|March 29, 2021
rBPDL:Predicting RNA-Binding Proteins Using Deep LearningMengting Niu, Jin Wu, Quan Zou, et al.
Briefings in Bioinformatics|May 19, 2026
MuFGPS: enhancing liquid-liquid phase separation protein prediction through multi-level features and ensemble learningLei Xian, Quan Zou, Ren Qi, et al.
Briefings in Bioinformatics|January 27, 2024
Identification, characterization and expression analysis of circRNA encoded by SARS-CoV-1 and SARS-CoV-2Mengting Niu, Chunyu Wang, Yaojia Chen, et al.
Computers in Biology and Medicine|January 13, 2024
iTTCA-MVL: A multi-view learning model based on physicochemical information and sequence statistical information for tumor T cell antigens identificationShulin Zhao, Shibo Huang, Mengting Niu, et al.
BMC Biology|May 14, 2025
Interpretable multi-instance heterogeneous graph network learning modelling CircRNA-drug sensitivity association predictionMengting Niu, Chunyu Wang, Yaojia Chen, et al.
BMC Biology|February 26, 2024
CircRNA identification and feature interpretability analysisMengting Niu, Chunyu Wang, Yaojia Chen, et al.
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