Lei Li

SCMFMDA: Predicting microRNA-disease associations based on similarity constrained matrix factorization

Lei Li, Zhen Gao, Yutian Wang et al. · PLoS Computational Biology · 2021 · 45 citations · Full text

A Semi-Supervised Learning Method for MiRNA-Disease Association Prediction Based on Variational Autoencoder

Cunmei Ji, Yutian Wang, Zhen Gao et al. · IEEE/ACM Transactions on Computational Biology and Bioinformatics · 2021 · 32 citations

Engineering, Machine Learning, Autoencoders +19

Identification and verification of differentially expressed microRNAs and their target genes for the diagnosis of esophageal cancer

Xiaoyue Cai, Xiwen Yang, Jin Chang-juan et al. · Oncology Letters · 2018 · 25 citations · Full text

GCAEMDA: Predicting miRNA-disease associations via graph convolutional autoencoder

Lei Li, Yutian Wang, Cunmei Ji et al. · PLoS Computational Biology · 2021 · 22 citations · Full text

Convolutional Autoencoder, Systems Biology, Functional Genomics +13

A New Method Based on Matrix Completion and Non-Negative Matrix Factorization for Predicting Disease-Associated miRNAs

Zhen Gao, Yutian Wang, Qing-Wen Wu et al. · IEEE/ACM Transactions on Computational Biology and Bioinformatics · 2020 · 10 citations