SPRDA: a link prediction approach based on the structural perturbation to infer disease-associated Piwi-interacting RNAs
Abstract piRNA and PIWI proteins have been confirmed for disease diagnosis and treatment
as novel biomarkers due to its abnormal expression in various cancers. However, the …
as novel biomarkers due to its abnormal expression in various cancers. However, the …
Machine learning strategies in microRNA research: bridging genome to phenome
S Daniel Thomas, K Vijayakumar, L John… - OMICS: A Journal of …, 2024 - liebertpub.com
MicroRNAs (miRNAs) have emerged as a prominent layer of regulation of gene expression.
This article offers the salient and current aspects of machine learning (ML) tools and …
This article offers the salient and current aspects of machine learning (ML) tools and …
A feature extraction method based on noise reduction for circRNA-miRNA interaction prediction combining multi-structure features in the association networks
Motivation A large number of studies have shown that circular RNA (circRNA) affects
biological processes by competitively binding miRNA, providing a new perspective for the …
biological processes by competitively binding miRNA, providing a new perspective for the …
AMDECDA: attention mechanism combined with data ensemble strategy for predicting CircRNA-disease association
Accumulating evidence from recent research reveals that circRNA is tightly bound to human
complex disease and plays an important regulatory role in disease progression. Identifying …
complex disease and plays an important regulatory role in disease progression. Identifying …
DeepCMI: a graph-based model for accurate prediction of circRNA–miRNA interactions with multiple information
Recently, the role of competing endogenous RNAs in regulating gene expression through
the interaction of microRNAs has been closely associated with the expression of circular …
the interaction of microRNAs has been closely associated with the expression of circular …
BCMCMI: a fusion model for predicting circRNA-miRNA interactions combining semantic and meta-path
More and more evidence suggests that circRNA plays a vital role in generating and treating
diseases by interacting with miRNA. Therefore, accurate prediction of potential circRNA …
diseases by interacting with miRNA. Therefore, accurate prediction of potential circRNA …
Improving prediction of drug-target interactions based on fusing multiple features with data balancing and feature selection techniques
Drug discovery relies on predicting drug-target interaction (DTI), which is an important
challenging task. The purpose of DTI is to identify the interaction between drug chemical …
challenging task. The purpose of DTI is to identify the interaction between drug chemical …
Identifying circRNA-miRNA interaction based on multi-biological interaction fusion
D Yao, L Nong, M Qin, S Wu, S Yao - Frontiers in Microbiology, 2022 - frontiersin.org
CircRNA is a new type of non-coding RNA with a closed loop structure. More and more
biological experiments show that circRNA plays important roles in many diseases by …
biological experiments show that circRNA plays important roles in many diseases by …
[PDF][PDF] KS-CMI: A circRNA-miRNA interaction prediction method based on the signed graph neural network and denoising autoencoder
Circular RNA (circRNA) plays an important role in the diagnosis, treatment, and prognosis of
human diseases. The discovery of potential circRNA-miRNA interactions (CMI) is of guiding …
human diseases. The discovery of potential circRNA-miRNA interactions (CMI) is of guiding …
Identification of circRNA‐disease associations via multi‐model fusion and ensemble learning
J Yang, X Lei, F Zhang - Journal of Cellular and Molecular …, 2024 - Wiley Online Library
Circular RNA (circRNA) is a common non‐coding RNA and plays an important role in the
diagnosis and therapy of human diseases, circRNA‐disease associations prediction based …
diagnosis and therapy of human diseases, circRNA‐disease associations prediction based …