Updated review of advances in microRNAs and complex diseases: taxonomy, trends and challenges of computational models

L Huang, L Zhang, X Chen - Briefings in bioinformatics, 2022 - academic.oup.com
Since the problem proposed in late 2000s, microRNA–disease association (MDA)
predictions have been implemented based on the data fusion paradigm. Integrating diverse …

[HTML][HTML] What's sex got to do with COVID-19? Gender-based differences in the host immune response to coronaviruses

N Gadi, SC Wu, AP Spihlman, VR Moulton - Frontiers in immunology, 2020 - frontiersin.org
The novel severe acute respiratory syndrome coronavirus 2, the cause of the coronavirus
disease 2019 (COVID-19) pandemic, has ravaged the world, with over 22 million total cases …

HMDD v3. 0: a database for experimentally supported human microRNA–disease associations

Z Huang, J Shi, Y Gao, C Cui, S Zhang, J Li… - Nucleic acids …, 2019 - academic.oup.com
Comprehensive databases of microRNA–disease associations are continuously demanded
in biomedical researches. The recently launched version 3.0 of Human MicroRNA Disease …

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 …

MicroRNAs and complex diseases: from experimental results to computational models

X Chen, D Xie, 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 …

Neural inductive matrix completion with graph convolutional networks for miRNA-disease association prediction

J Li, S Zhang, T Liu, C Ning, Z Zhang, W Zhou - Bioinformatics, 2020 - academic.oup.com
Motivation Predicting the association between microRNAs (miRNAs) and diseases plays an
import role in identifying human disease-related miRNAs. As identification of miRNA …

BNPMDA: bipartite network projection for MiRNA–disease association prediction

X Chen, D Xie, 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 …

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 …

A ceRNA hypothesis: the Rosetta Stone of a hidden RNA language?

L Salmena, L Poliseno, Y Tay, L Kats, PP Pandolfi - cell, 2011 - cell.com
Here, we present a unifying hypothesis about how messenger RNAs, transcribed
pseudogenes, and long noncoding RNAs" talk" to each other using microRNA response …

Updated review of advances in microRNAs and complex diseases: experimental results, databases, webservers and data fusion

L Huang, L Zhang, X Chen - Briefings in bioinformatics, 2022 - academic.oup.com
MicroRNAs (miRNAs) are gene regulators involved in the pathogenesis of complex
diseases such as cancers, and thus serve as potential diagnostic markers and therapeutic …