Predicting CircRNA Disease Associations using Novel Node Classification and Link Prediction Models on Graph Convolutional Networks.
Sign Up to like & getrecommendations! Published in 2021 at "Methods"
DOI: 10.1016/j.ymeth.2021.10.008
Abstract: Accumulated studies have discovered that circular RNAs (CircRNAs) are closely related to many complex human diseases. Due to this close relationship, CircRNAs can be used as good biomarkers for disease diagnosis and therapeutic targets for… read more here.
Keywords: circrna disease; disease associations; prediction models; prediction ... See more keywords
iGRLCDA: identifying circRNA-disease association based on graph representation learning
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac083
Abstract: While the technologies of ribonucleic acid-sequence (RNA-seq) and transcript assembly analysis have continued to improve, a novel topology of RNA transcript was uncovered in the last decade and is called circular RNA (circRNA). Recently, researchers… read more here.
Keywords: circrna disease; disease; disease association; identifying circrna ... See more keywords
RNMFLP: Predicting circRNA-disease associations based on robust nonnegative matrix factorization and label propagation
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac155
Abstract: Circular RNAs (circRNAs) are a class of structurally stable endogenous noncoding RNA molecules. Increasing studies indicate that circRNAs play vital roles in human diseases. However, validating disease-related circRNAs in vivo is costly and time-consuming. A… read more here.
Keywords: robust nonnegative; circrna disease; disease; disease associations ... See more keywords
A machine learning framework based on multi-source feature fusion for circRNA-disease association prediction
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac388
Abstract: Circular RNAs (circRNAs) are involved in the regulatory mechanisms of multiple complex diseases, and the identification of their associations is critical to the diagnosis and treatment of diseases. In recent years, many computational methods have… read more here.
Keywords: circrna disease; disease; disease association; association prediction ... See more keywords
iCircDA-MF: identification of circRNA-disease associations based on matrix factorization
Sign Up to like & getrecommendations! Published in 2020 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbz057
Abstract: Circular RNAs (circRNAs) are a group of novel discovered non-coding RNAs with closed-loop structure, which play critical roles in various biological processes. Identifying associations between circRNAs and diseases is critical for exploring the complex disease… read more here.
Keywords: circrna disease; matrix factorization; disease associations; disease ... See more keywords
Predicting CircRNA-Disease associations via feature convolution learning with heterogeneous graph attention network.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE journal of biomedical and health informatics"
DOI: 10.1109/jbhi.2023.3260863
Abstract: Exploring the relationship between circular RNA (circRNA) and disease is beneficial for revealing the mechanisms of disease pathogenesis. However, a blind search for all possible associations between circRNAs and diseases through biological experiments is time-consuming.… read more here.
Keywords: network; heterogeneous graph; circrna disease; disease ... See more keywords
Potential circRNA-Disease Association Prediction Using DeepWalk and Nonnegative Matrix Factorization.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2023.3264466
Abstract: Circular RNAs (circRNAs) are a category of noncoding RNAs that exist in great numbers in eukaryotes. They have recently been discovered to be crucial in the growth of tumors. Therefore, it is important to explore… read more here.
Keywords: circrna disease; disease; disease association; nonnegative matrix ... See more keywords
Using Graph Attention Network and Graph Convolutional Network to Explore Human CircRNA–Disease Associations Based on Multi-Source Data
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2022.829937
Abstract: Cumulative research studies have verified that multiple circRNAs are closely associated with the pathogenic mechanism and cellular level. Exploring human circRNA–disease relationships is significant to decipher pathogenic mechanisms and provide treatment plans. At present, several… read more here.
Keywords: circrna disease; graph attention; network;
SAAED: Embedding and Deep Learning Enhance Accurate Prediction of Association Between circRNA and Disease
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2022.832244
Abstract: Emerging evidence indicates that circRNA can regulate various diseases. However, the mechanisms of circRNA in these diseases have not been fully understood. Therefore, detecting potential circRNA–disease associations has far-reaching significance for pathological development and treatment… read more here.
Keywords: circrna disease; disease; analysis; deep learning ... See more keywords
GBDTCDA: Predicting circRNA-disease Associations Based on Gradient Boosting Decision Tree with Multiple Biological Data Fusion
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Biological Sciences"
DOI: 10.7150/ijbs.33806
Abstract: Circular RNA (circRNA) is a closed-loop structural non-coding RNA molecule which plays a significant role during the gene regulation processes. There are many previous studies shown that circRNAs can be regarded as the sponges of… read more here.
Keywords: circrna disease; gradient boosting; disease associations; disease ... See more keywords