Decoding Diabetes Biomarkers and Related Molecular Mechanisms by Using Machine Learning, Text Mining, and Gene Expression Analysis

The molecular basis of diabetes mellitus is yet to be fully elucidated. We aimed to identify the most frequently reported and differential expressed genes (DEGs) in diabetes by using bioinformatics approaches. Text mining was used to screen 40,225 article abstracts from diabetes literature. These st...

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Detalles Bibliográficos
Autores principales: Elsherbini, Amira M., Alsamman, Alsamman M., Elsherbiny, Nehal M., El-Sherbiny, Mohamed, Ahmed, Rehab, Ebrahim, Hasnaa Ali, Bakkach, Joaira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9656783/
https://www.ncbi.nlm.nih.gov/pubmed/36360783
http://dx.doi.org/10.3390/ijerph192113890

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9656783/
https://www.ncbi.nlm.nih.gov/pubmed/36360783
http://dx.doi.org/10.3390/ijerph192113890

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