GPACDA – circRNA-Disease Association Prediction with Generating Polynomials
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F24%3A00376425" target="_blank" >RIV/68407700:21230/24:00376425 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-031-64629-4_3" target="_blank" >https://doi.org/10.1007/978-3-031-64629-4_3</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-64629-4_3" target="_blank" >10.1007/978-3-031-64629-4_3</a>
Alternative languages
Result language
angličtina
Original language name
GPACDA – circRNA-Disease Association Prediction with Generating Polynomials
Original language description
Circular RNA, a molecule with partially understood functions, has been implicated in various diseases. Therefore, there is a vast effort to predict associations between circular RNAs and diseases. In our recent study, we introduced circGPA, an algorithm that enables the annotation of circular RNAs with gene ontology terms through interactions with miRNAs and mRNAs. Recognizing the analytical similarity in predicting disease associations, we developed GPACDA, an extension of circGPA tailored for disease associations. The benefits of our methods include explainability, as the outputs are based on known interactions and associations, as well as the rigorous calculation of the p-value, which the circGPA algorithm can compute. We compared our method with two other tools, NCPCDA and DWNCPCDA, using a subset of the CDASOR dataset and showed that GPACDA overcomes its competitors in terms of true association ranks. Our method’s code and predictions are publicly accessible.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/NU20-03-00412" target="_blank" >NU20-03-00412: Role of transposable elements and PIWI-interacting RNAs in myelodysplastic syndrome and their potential clinical applications</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Bioinformatics and Biomedical Engineering
ISBN
978-3-031-64629-4
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
16
Pages from-to
33-48
Publisher name
Springer, Cham
Place of publication
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Event location
Gran Canaria
Event date
Jul 15, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001308626000003