MicroRNAs and complex diseases: from experimental results to computational models

X Chen, D **e, Q Zhao, ZH You - Briefings in bioinformatics, 2019 - academic.oup.com
Plenty of microRNAs (miRNAs) were discovered at a rapid pace in plants, green algae,
viruses and animals. As one of the most important components in the cell, miRNAs play a …

Predicting the potential human lncRNA–miRNA interactions based on graph convolution network with conditional random field

W Wang, L Zhang, J Sun, Q Zhao… - Briefings in …, 2022 - academic.oup.com
Long non-coding RNA (lncRNA) and microRNA (miRNA) are two typical types of non-coding
RNAs (ncRNAs), their interaction plays an important regulatory role in many biological …

Using network distance analysis to predict lncRNA–miRNA interactions

L Zhang, P Yang, H Feng, Q Zhao, H Liu - … sciences: computational life …, 2021 - Springer
LncRNA–miRNA interactions contribute to the regulation of therapeutic targets and
diagnostic biomarkers in multifarious human diseases. However, it remains difficult to …

Predicting miRNA–disease association based on inductive matrix completion

X Chen, L Wang, J Qu, NN Guan, JQ Li - Bioinformatics, 2018 - academic.oup.com
Motivation It has been shown that microRNAs (miRNAs) play key roles in variety of
biological processes associated with human diseases. In Consideration of the cost and …

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 …

MDHGI: matrix decomposition and heterogeneous graph inference for miRNA-disease association prediction

X Chen, J Yin, J Qu, L Huang - PLoS computational biology, 2018 - journals.plos.org
Recently, a growing number of biological research and scientific experiments have
demonstrated that microRNA (miRNA) affects the development of human complex diseases …

Research progress of miRNA–disease association prediction and comparison of related algorithms

L Yu, Y Zheng, B Ju, C Ao, L Gao - Briefings in Bioinformatics, 2022 - academic.oup.com
With an in-depth understanding of noncoding ribonucleic acid (RNA), many studies have
shown that microRNA (miRNA) plays an important role in human diseases. Because …

BNPMDA: bipartite network projection for MiRNA–disease association prediction

X Chen, D **e, L Wang, Q Zhao, ZH You, H Liu - Bioinformatics, 2018 - academic.oup.com
Motivation A large number of resources have been devoted to exploring the associations
between microRNAs (miRNAs) and diseases in the recent years. However, the experimental …

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 …

NCMCMDA: miRNA–disease association prediction through neighborhood constraint matrix completion

X Chen, LG Sun, Y Zhao - Briefings in bioinformatics, 2021 - academic.oup.com
Emerging evidence shows that microRNAs (miRNAs) play a critical role in diverse
fundamental and important biological processes associated with human diseases. Inferring …