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

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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Autores principales: Dominik Schaack, Markus A Weigand, Florian Uhle
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/229cd1e057ca4c62ac611b4e7b29f9ea
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