Hang Wei
Orcid: 0000-0002-0579-1716Affiliations:
- Xidian University, Xi'an, China
- Harbin Institute of Technology, School of Computer Science and Technology, Shenzhen, China (former)
According to our database1,
Hang Wei
authored at least 13 papers
between 2020 and 2025.
Collaborative distances:
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Timeline
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Bibliography
2025
A Systemic Pipeline of Identifying lncRNA-Disease Associations to the Prognosis and Treatment of Hepatocellular Carcinoma.
IEEE Trans. Big Data, April, 2025
2024
Multiple types of disease-associated RNAs identification for disease prognosis and therapy using heterogeneous graph learning.
Sci. China Inf. Sci., 2024
IDP-EDL: enhancing intrinsically disordered protein prediction by combining protein language model and ensemble deep learning.
Briefings Bioinform., 2024
2023
iPiDA-SWGCN: Identification of piRNA-disease associations based on Supplementarily Weighted Graph Convolutional Network.
PLoS Comput. Biol., 2023
2022
iPiDA-GCN: Identification of piRNA-disease associations based on Graph Convolutional Network.
PLoS Comput. Biol., October, 2022
Briefings Bioinform., 2022
iCircDA-ENR: identification of circRNA-disease associations based on ensemble network representation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
iLncRNAdis-FB: Identify lncRNA-Disease Associations by Fusing Biological Feature Blocks Through Deep Neural Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
iCircDA-LTR: identification of circRNA-disease associations based on Learning to Rank.
Bioinform., 2021
SMI-BLAST: a novel supervised search framework based on PSI-BLAST for protein remote homology detection.
Bioinform., 2021
iPiDi-PUL: identifying Piwi-interacting RNA-disease associations based on positive unlabeled learning.
Briefings Bioinform., 2021
2020
iPiDA-sHN: Identification of Piwi-interacting RNA-disease associations by selecting high quality negative samples.
Comput. Biol. Chem., 2020
iCircDA-MF: identification of circRNA-disease associations based on matrix factorization.
Briefings Bioinform., 2020