Updated review of advances in microRNAs and complex diseases: taxonomy, trends and challenges of computational models
Since the problem proposed in late 2000s, microRNA–disease association (MDA)
predictions have been implemented based on the data fusion paradigm. Integrating diverse …
predictions have been implemented based on the data fusion paradigm. Integrating diverse …
[HTML][HTML] Application of machine learning in microbiology
Microorganisms are ubiquitous and closely related to people's daily lives. Since they were
first discovered in the 19th century, researchers have shown great interest in …
first discovered in the 19th century, researchers have shown great interest in …
Using network distance analysis to predict lncRNA–miRNA interactions
LncRNA–miRNA interactions contribute to the regulation of therapeutic targets and
diagnostic biomarkers in multifarious human diseases. However, it remains difficult to …
diagnostic biomarkers in multifarious human diseases. However, it remains difficult to …
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 …
related to microRNA (miRNA) variation and imbalance. For this reason, predicting disease …
Neural inductive matrix completion with graph convolutional networks for miRNA-disease association prediction
Motivation Predicting the association between microRNAs (miRNAs) and diseases plays an
import role in identifying human disease-related miRNAs. As identification of miRNA …
import role in identifying human disease-related miRNAs. As identification of miRNA …
[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 …
diseases have been identified. Based on accumulating biological data, many computational …
Updated review of advances in microRNAs and complex diseases: towards systematic evaluation of computational models
Currently, there exist no generally accepted strategies of evaluating computational models
for microRNA-disease associations (MDAs). Though K-fold cross validations and case …
for microRNA-disease associations (MDAs). Though K-fold cross validations and case …
DAESTB: inferring associations of small molecule–miRNA via a scalable tree boosting model based on deep autoencoder
L Peng, Y Tu, L Huang, Y Li, X Fu… - Briefings in …, 2022 - academic.oup.com
MicroRNAs (miRNAs) are closely related to a variety of human diseases, not only regulating
gene expression, but also having an important role in human life activities and being viable …
gene expression, but also having an important role in human life activities and being viable …
Updated review of advances in microRNAs and complex diseases: experimental results, databases, webservers and data fusion
MicroRNAs (miRNAs) are gene regulators involved in the pathogenesis of complex
diseases such as cancers, and thus serve as potential diagnostic markers and therapeutic …
diseases such as cancers, and thus serve as potential diagnostic markers and therapeutic …
RNMFLP: predicting circRNA–disease associations based on robust nonnegative matrix factorization and label propagation
Circular RNAs (circRNAs) are a class of structurally stable endogenous noncoding RNA
molecules. Increasing studies indicate that circRNAs play vital roles in human diseases …
molecules. Increasing studies indicate that circRNAs play vital roles in human diseases …