Cargando…
A Machine Learning Analysis of Prognostic Genes Associated With Allograft Tolerance After Renal Transplantation
In this study, we aimed to identify transplantation tolerance (TOL)-related gene signature and use it to predict the different types of renal allograft rejection performances in kidney transplantation. Gene expression data were obtained from the Gene Expression Omnibus (GEO) database, differently ex...
Autores principales: | Li, Zhibiao, Lu, Zechao, Hu, Chuxian, Zhang, Yixin, Chen, Yushu, Zhang, Jiahao, Guo, Feng, Wang, Jinjin, Tang, Zhicheng, Tang, Fucai, He, Zhaohui |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475226/ https://www.ncbi.nlm.nih.gov/pubmed/37650419 http://dx.doi.org/10.1177/09636897231195116 |
Ejemplares similares
-
Identification of signature genes for renal ischemia‒reperfusion injury based on machine learning and WGCNA
por: Lu, Zechao, et al.
Publicado: (2023) -
A novel molecular subtypes and risk model based on inflammatory response-related lncrnas for bladder cancer
por: Tang, Fucai, et al.
Publicado: (2022) -
DNA Methylation Data-Based Classification and Identification of Prognostic Signature of Children With Wilms Tumor
por: Tang, Fucai, et al.
Publicado: (2021) -
A novel autophagy-related long non-coding RNAs prognostic risk score for clear cell renal cell carcinoma
por: Tang, Fucai, et al.
Publicado: (2022) -
A Novel Inflammation-Related Gene Signature for Overall Survival Prediction and Comprehensive Analysis in Pediatric Patients with Wilms Tumor
por: Zhang, Jiahao, et al.
Publicado: (2022)