Identification of Potential Biomarkers for Group I Pulmonary Hypertension Based on Machine Learning and Bioinformatics Analysis

A number of processes and pathways have been reported in the development of Group I pulmonary hypertension (Group I PAH); however, novel biomarkers need to be identified for a better diagnosis and management. We employed a robust rank aggregation (RRA) algorithm to shortlist the key differentially e...

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Detalles Bibliográficos
Autores principales: Hu, Hui, Cai, Jie, Qi, Daoxi, Li, Boyu, Yu, Li, Wang, Chen, Bajpai, Akhilesh K., Huang, Xiaoqin, Zhang, Xiaokang, Lu, Lu, Liu, Jinping, Zheng, Fang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10178909/
https://www.ncbi.nlm.nih.gov/pubmed/37175757
http://dx.doi.org/10.3390/ijms24098050

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10178909/
https://www.ncbi.nlm.nih.gov/pubmed/37175757
http://dx.doi.org/10.3390/ijms24098050

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