Identification of Unique Genetic Biomarkers of Various Subtypes of Glomerulonephritis Using Machine Learning and Deep Learning

(1) Objective: Identification of potential genetic biomarkers for various glomerulonephritis (GN) subtypes and discovering the molecular mechanisms of GN. (2) Methods: four microarray datasets of GN were downloaded from Gene Expression Omnibus (GEO) database and merged to obtain the gene expression...

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Detalles Bibliográficos
Autores principales: Qing, Jianbo, Zheng, Fang, Zhi, Huiwen, Yaigoub, Hasnaa, Tirichen, Hasna, Li, Yaheng, Zhao, Juanjuan, Qiang, Yan, Li, Yafeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9496457/
https://www.ncbi.nlm.nih.gov/pubmed/36139115
http://dx.doi.org/10.3390/biom12091276

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9496457/
https://www.ncbi.nlm.nih.gov/pubmed/36139115
http://dx.doi.org/10.3390/biom12091276

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