Cunmei Ji
Qufu, 273165, China
Last Updated: 09/26/2026
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Found 8 publications
Using Multi-Encoder Semi-Implicit Graph Variational Autoencoder to Analyze Single-Cell RNA Sequencing Data.
Journal: IEEE/ACM transactions on computational biology and bioinformatics
Published: September 10, 2024
SGLMDA: A Subgraph Learning-Based Method for miRNA-Disease Association Prediction.
Journal: IEEE/ACM transactions on computational biology and bioinformatics
Published: March 06, 2024
An End-to-End Deep Hybrid Autoencoder Based Method for Single-Cell RNA-Seq Data Analysis.
Journal: IEEE/ACM transactions on computational biology and bioinformatics
Published: October 27, 2023
GATNNCDA: A Method Based on Graph Attention Network and Multi-Layer Neural Network for Predicting circRNA-Disease Associations.
Journal: International journal of molecular sciences
Published: July 21, 2021
Predicting miRNA-Disease Associations Based on Heterogeneous Graph Attention Networks.
Journal: Frontiers in genetics
Published: June 19, 2021
A Semi-Supervised Learning Method for MiRNA-Disease Association Prediction Based on Variational Autoencoder.
Journal: IEEE/ACM transactions on computational biology and bioinformatics
Published: March 18, 2021
AEMDA: inferring miRNA-disease associations based on deep autoencoder.
Journal: Bioinformatics (Oxford, England)
Published: March 22, 2020
Showing 1-8 of 8
Last Updated: 09/26/2026