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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...
Shranjeno v:
| izdano v: | PLoS One |
|---|---|
| Main Authors: | , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Public Library of Science
2021
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8128240/ https://ncbi.nlm.nih.gov/pubmed/33999966 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0251800 |
| Oznake: |
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