Discovering a trans-omics biomarker signature that predisposes high risk diabetic patients to diabetic kidney disease

Diabetic kidney disease is the leading cause of end-stage kidney disease worldwide; however, the integration of high-dimensional trans-omics data to predict this diabetic complication is rare. We develop artificial intelligence (AI)-assisted models using machine learning algorithms to identify a bio...

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Detalles Bibliográficos
Autores principales: Wu, I-Wen, Tsai, Tsung-Hsien, Lo, Chi-Jen, Chou, Yi-Ju, Yeh, Chi-Hsiao, Chan, Yun-Hsuan, Chen, Jun-Hong, Hsu, Paul Wei-Che, Pan, Heng-Chih, Hsu, Heng-Jung, Chen, Chun-Yu, Lee, Chin-Chan, Shyu, Yu-Chiau, Lin, Chih-Lang, Cheng, Mei-Ling, Lai, Chi-Chun, Sytwu, Huey-Kang, Tsai, Ting-Fen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9630270/
https://www.ncbi.nlm.nih.gov/pubmed/36323795
http://dx.doi.org/10.1038/s41746-022-00713-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9630270/
https://www.ncbi.nlm.nih.gov/pubmed/36323795
http://dx.doi.org/10.1038/s41746-022-00713-7

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