Predicting diagnostic biomarkers associated with immune infiltration in Crohn's disease based on machine learning and bioinformatics

OBJECTIVE: The objective of this study is to investigate potential biomarkers of Crohn's disease (CD) and the pathological importance of infiltration of associated immune cells in disease development using machine learning. METHODS: Three publicly accessible CD gene expression profiles were obt...

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Detalles Bibliográficos
Autores principales: Bao, Wenhui, Wang, Lin, Liu, Xiaoxiao, Li, Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10369716/
https://www.ncbi.nlm.nih.gov/pubmed/37496049
http://dx.doi.org/10.1186/s40001-023-01200-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10369716/
https://www.ncbi.nlm.nih.gov/pubmed/37496049
http://dx.doi.org/10.1186/s40001-023-01200-9

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