Type2 diabetes mellitus prediction using data mining algorithms based on the long-noncoding RNAs expression: a comparison of four data mining approaches

BACKGROUND: About 90% of patients who have diabetes suffer from Type 2 DM (T2DM). Many studies suggest using the significant role of lncRNAs to improve the diagnosis of T2DM. Machine learning and Data Mining techniques are tools that can improve the analysis and interpretation or extraction of knowl...

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Detalles Bibliográficos
Autores principales: Kazerouni, Faranak, Bayani, Azadeh, Asadi, Farkhondeh, Saeidi, Leyla, Parvizi, Nasrin, Mansoori, Zahra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7451240/
https://www.ncbi.nlm.nih.gov/pubmed/32854616
http://dx.doi.org/10.1186/s12859-020-03719-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7451240/
https://www.ncbi.nlm.nih.gov/pubmed/32854616
http://dx.doi.org/10.1186/s12859-020-03719-8

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