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Large-Scale Automatic Feature Selection for Biomarker Discovery in High-Dimensional OMICs Data
The identification of biomarker signatures in omics molecular profiling is usually performed to predict outcomes in a precision medicine context, such as patient disease susceptibility, diagnosis, prognosis, and treatment response. To identify these signatures, we have developed a biomarker discover...
Tallennettuna:
| Julkaisussa: | Front Genet |
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| Päätekijät: | , , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Frontiers Media S.A.
2019
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6532608/ https://ncbi.nlm.nih.gov/pubmed/31156708 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fgene.2019.00452 |
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