Identification of miRNA–disease associations via deep forest ensemble learning based on autoencoder

W Liu, H Lin, L Huang, L Peng, T Tang… - Briefings in …, 2022 - academic.oup.com
Increasing evidences show that the occurrence of human complex diseases is closely
related to microRNA (miRNA) variation and imbalance. For this reason, predicting disease …

Prediction of potential miRNA–disease associations based on stacked autoencoder

CC Wang, TH Li, L Huang, X Chen - Briefings in bioinformatics, 2022 - academic.oup.com
In recent years, increasing biological experiments and scientific studies have demonstrated
that microRNA (miRNA) plays an important role in the development of human complex …

[HTML][HTML] Ensemble of decision tree reveals potential miRNA-disease associations

X Chen, CC Zhu, J Yin - PLoS computational biology, 2019 - journals.plos.org
In recent years, increasing associations between microRNAs (miRNAs) and human
diseases have been identified. Based on accumulating biological data, many computational …

Prediction of potential mirna–disease associations through a novel unsupervised deep learning framework with variational autoencoder

L Zhang, X Chen, J Yin - Cells, 2019 - mdpi.com
The important role of microRNAs (miRNAs) in the formation, development, diagnosis, and
treatment of diseases has attracted much attention among researchers recently. In this study …

PDMDA: predicting deep-level miRNA–disease associations with graph neural networks and sequence features

C Yan, G Duan, N Li, L Zhang, FX Wu, J Wang - Bioinformatics, 2022 - academic.oup.com
Motivation Many studies have shown that microRNAs (miRNAs) play a key role in human
diseases. Meanwhile, traditional experimental methods for miRNA–disease association …

[HTML][HTML] Novel human miRNA-disease association inference based on random forest

X Chen, CC Wang, J Yin, ZH You - Molecular Therapy-Nucleic Acids, 2018 - cell.com
Since the first microRNA (miRNA) was discovered, a lot of studies have confirmed the
associations between miRNAs and human complex diseases. Besides, obtaining and taking …

[HTML][HTML] A computational study of potential miRNA-disease association inference based on ensemble learning and kernel ridge regression

LH Peng, LQ Zhou, X Chen, X Piao - Frontiers in bioengineering and …, 2020 - frontiersin.org
As increasing experimental studies have shown that microRNAs (miRNAs) are closely
related to multiple biological processes and the prevention, diagnosis and treatment of …

DRMDA: deep representations‐based miRNA–disease association prediction

X Chen, Y Gong, DH Zhang, ZH You… - Journal of cellular and …, 2018 - Wiley Online Library
Recently, microRNAs (miRNAs) are confirmed to be important molecules within many crucial
biological processes and therefore related to various complex human diseases. However …

Variational graph auto-encoders for miRNA-disease association prediction

Y Ding, LP Tian, X Lei, B Liao, FX Wu - Methods, 2021 - Elsevier
Cumulative experimental studies have demonstrated the critical roles of microRNAs
(miRNAs) in the diverse fundamental and important biological processes, and in the …

Deep-belief network for predicting potential miRNA-disease associations

X Chen, TH Li, Y Zhao, CC Wang… - Briefings in …, 2021 - academic.oup.com
MicroRNA (miRNA) plays an important role in the occurrence, development, diagnosis and
treatment of diseases. More and more researchers begin to pay attention to the relationship …