Comparison of machine-learning methodologies for accurate diagnosis of sepsis using microarray gene expression data

We investigate the feasibility of molecular-level sample classification of sepsis using microarray gene expression data merged by in silico meta-analysis. Publicly available data series were extracted from NCBI Gene Expression Omnibus and EMBL-EBI ArrayExpress to create a comprehensive meta-analysis...

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Detalles Bibliográficos
Autores principales: Schaack, Dominik, Weigand, Markus A., Uhle, Florian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8128240/
https://www.ncbi.nlm.nih.gov/pubmed/33999966
http://dx.doi.org/10.1371/journal.pone.0251800

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8128240/
https://www.ncbi.nlm.nih.gov/pubmed/33999966
http://dx.doi.org/10.1371/journal.pone.0251800

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