Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Lianhe Zhao

Showing results (1-10 of 17) with videos related to

Pageof 2
Sort By:
Journal of Clinical Laboratory Analysis|June 1, 2020
A four-long noncoding RNA signature predicts survival of hepatocellular carcinoma patientsHaitao Jiang, Lianhe Zhao, Yunjie Chen, et al.
Briefings in Bioinformatics|September 20, 2022
Multi-modality artificial intelligence in digital pathologyYixuan Qiao, Lianhe Zhao, Chunlong Luo, et al.
Computational and Structural Biotechnology Journal|June 7, 2021
DeepOmix: A scalable and interpretable multi-omics deep learning framework and application in cancer survival analysisLianhe Zhao, Qiongye Dong, Chunlong Luo, et al.
Briefings in Bioinformatics|January 22, 2023
Biological knowledge graph-guided investigation of immune therapy response in cancer with graph neural networkLianhe Zhao, Xiaoning Qi, Yang Chen, et al.
Computational and Structural Biotechnology Journal|January 26, 2024
DeepFusion: A deep bimodal information fusion network for unraveling protein-RNA interactions using in vivo RNA structuresYixuan Qiao, Rui Yang, Yang Liu, et al.
Briefings in Bioinformatics|February 6, 2025
A multi-modal fusion model with enhanced feature representation for chronic kidney disease progression predictionYixuan Qiao, Hong Zhou, Yang Liu, et al.
Journal of Cellular Biochemistry|January 22, 2020
A robust two-gene signature for glioblastoma survival predictionYuhualei Pan, Jian-Hua Zhang, Lianhe Zhao, et al.
Nature Communications|October 27, 2024
Predicting transcriptional responses to novel chemical perturbations using deep generative model for drug discoveryXiaoning Qi, Lianhe Zhao, Chenyu Tian, et al.
Computational and Structural Biotechnology Journal|July 24, 2023
Corrigendum to "TREAT: Therapeutic RNAs exploration inspired by artificial intelligence technology" [Comput Struct Biotechnol J 20 (2022) 5680-5689]Yufan Luo, Liu Liu, Zihao He, et al.
Computational and Structural Biotechnology Journal|November 2, 2022
TREAT: Therapeutic RNAs exploration inspired by artificial intelligence technologyYufan Luo, Liu Liu, Zihao He, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Journal of Clinical Laboratory Analysis|June 1, 2020
A four-long noncoding RNA signature predicts survival of hepatocellular carcinoma patientsHaitao Jiang, Lianhe Zhao, Yunjie Chen, et al.
Briefings in Bioinformatics|September 20, 2022
Multi-modality artificial intelligence in digital pathologyYixuan Qiao, Lianhe Zhao, Chunlong Luo, et al.
Computational and Structural Biotechnology Journal|June 7, 2021
DeepOmix: A scalable and interpretable multi-omics deep learning framework and application in cancer survival analysisLianhe Zhao, Qiongye Dong, Chunlong Luo, et al.
Briefings in Bioinformatics|January 22, 2023
Biological knowledge graph-guided investigation of immune therapy response in cancer with graph neural networkLianhe Zhao, Xiaoning Qi, Yang Chen, et al.
Computational and Structural Biotechnology Journal|January 26, 2024
DeepFusion: A deep bimodal information fusion network for unraveling protein-RNA interactions using in vivo RNA structuresYixuan Qiao, Rui Yang, Yang Liu, et al.
Briefings in Bioinformatics|February 6, 2025
A multi-modal fusion model with enhanced feature representation for chronic kidney disease progression predictionYixuan Qiao, Hong Zhou, Yang Liu, et al.
Journal of Cellular Biochemistry|January 22, 2020
A robust two-gene signature for glioblastoma survival predictionYuhualei Pan, Jian-Hua Zhang, Lianhe Zhao, et al.
Nature Communications|October 27, 2024
Predicting transcriptional responses to novel chemical perturbations using deep generative model for drug discoveryXiaoning Qi, Lianhe Zhao, Chenyu Tian, et al.
Computational and Structural Biotechnology Journal|July 24, 2023
Corrigendum to "TREAT: Therapeutic RNAs exploration inspired by artificial intelligence technology" [Comput Struct Biotechnol J 20 (2022) 5680-5689]Yufan Luo, Liu Liu, Zihao He, et al.
Computational and Structural Biotechnology Journal|November 2, 2022
TREAT: Therapeutic RNAs exploration inspired by artificial intelligence technologyYufan Luo, Liu Liu, Zihao He, et al.
Pageof 2