circR2Disease
Predicting circRNA-Disease Associations Based on Improved Collaboration Filtering Recommendation System With Multiple Data. March 31, 2018, the CircR2Disease has been updated. Circular RNAs (circRNAs) are widely expressed in diverse eukaryotic species and are characterized by covalently closed RNA loops through backsplicing events. They are known to function as miRNA sponges, regulators of alternative splicing, transcription factors and protein-coding templates for translation. To date, dysregulation of circRNAs have been associated with a group of diseases, i.e. various cancer. Here, CircR2Disease curated a database for experimentally supported associations between circRNAs and diseases, providing a platform for investigating mechanism of the disease-related circRNAs.
Description
More detailed information about this field from each metasource.
Predicting circRNA-Disease Associations Based on Improved Collaboration Filtering Recommendation System With Multiple Data. March 31, 2018, the CircR2Disease has been updated. Circular RNAs (circRNAs) are widely expressed in diverse eukaryotic species and are characterized by covalently closed RNA loops through backsplicing events. They are known to function as miRNA sponges, regulators of alternative splicing, transcription factors and protein-coding templates for translation. To date, dysregulation of circRNAs have been associated with a group of diseases, i.e. various cancer. Here, CircR2Disease curated a database for experimentally supported associations between circRNAs and diseases, providing a platform for investigating mechanism of the disease-related circRNAs.
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:29:32.967505
Webpage:
http://bioinfo.snnu.edu.cn/CircR2Disease/Webpage
More detailed information about this field from each metasource.
http://bioinfo.snnu.edu.cn/CircR2Disease/
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:29:32.967505
Publications:
Publications
More detailed information about this field from each metasource.
Predicting circRNA-Disease Associations Based on Improved Collaboration Filtering Recommendation System With Multiple Data
PMID: 31608124
metasource: bio.tools
version: extracted_at: 2022-11-04T11:29:32.967505
Publications
More detailed information about this field from each metasource.
Predicting circRNA-Disease Associations Based on Improved Collaboration Filtering Recommendation System With Multiple Data
PMID: 31608124
metasource: bio.tools
version: extracted_at: 2022-11-04T11:29:32.967505
-
Predicting circRNA-Disease Associations Based on Improved Collaboration Filtering Recommendation System With Multiple Data
PubMed citations: 6.
6 articles citing: Predicting circRNA-Disease Associations Based on Improved Collaboration Filtering Recommendation System With Multiple Data
GATNNCDA: A Method Based on Graph Attention Network and Multi-Layer Neural Network for Predicting circRNA-Disease Associations. PMID:34445212
Circular RNAs and complex diseases: from experimental results to computational models. PMID:34329377
GATCDA: Predicting circRNA-Disease Associations Based on Graph Attention Network. PMID:34070678
The circRNA_102911/miR-129-5p/SOX6 axis is involved with T lymphocyte immune function in elderly patients with laparoscopic left hepatectomy for hepatolithiasis. PMID:33456517
iCDA-CMG: identifying circRNA-disease associations by federating multi-similarity fusion and collective matrix completion. PMID:33159254
Emerging Function and Clinical Significance of Exosomal circRNAs in Cancer. PMID:32650235
Tags:
Tags
More detailed information about this field from each metasource.
functional, regulatory and non-coding rna
metasource: bio.tools
version: extracted_at: 2022-11-04T11:29:32.967505
pathology
metasource: bio.tools
version: extracted_at: 2022-11-04T11:29:32.967505
machine learning
metasource: bio.tools
version: extracted_at: 2022-11-04T11:29:32.967505
gene expression
metasource: bio.tools
version: extracted_at: 2022-11-04T11:29:32.967505
biomarkers
metasource: bio.tools
version: extracted_at: 2022-11-04T11:29:32.967505
Tags
More detailed information about this field from each metasource.
functional, regulatory and non-coding rna
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:29:32.967505
pathology
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:29:32.967505
machine learning
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:29:32.967505
gene expression
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:29:32.967505
biomarkers
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:29:32.967505
functional, regulatory and non-coding rna pathology gene expression biomarkers
Need help integrating and/or managing biomedical data?