Integrated Bioinformatics Identifies FREM1 as a Diagnostic Gene Signature for Heart Failure

OBJECTIVE: This study is aimed at integrating bioinformatics and machine learning to determine novel diagnostic gene signals in the progression of heart failure disease. METHODS: The heart failure microarray datasets and RNA-seq datasets have been downloaded from the public database. Differentially...

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Detalles Bibliográficos
Autores principales: Jiang, Chenyang, Jiang, Weidong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206587/
https://www.ncbi.nlm.nih.gov/pubmed/35726312
http://dx.doi.org/10.1155/2022/1425032

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206587/
https://www.ncbi.nlm.nih.gov/pubmed/35726312
http://dx.doi.org/10.1155/2022/1425032

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