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A dropout-regularized classifier development approach optimized for precision medicine test discovery from omics data
BACKGROUND: Modern genomic and proteomic profiling methods produce large amounts of data from tissue and blood-based samples that are of potential utility for improving patient care. However, the design of precision medicine tests for unmet clinical needs from this information in the small cohorts a...
में बचाया:
| में प्रकाशित: | BMC Bioinformatics |
|---|---|
| मुख्य लेखकों: | , , , , , |
| स्वरूप: | Artigo |
| भाषा: | Inglês |
| प्रकाशित: |
BioMed Central
2019
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| विषय: | |
| ऑनलाइन पहुंच: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6567499/ https://ncbi.nlm.nih.gov/pubmed/31196002 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-2922-2 |
| टैग : |
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