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Sparse representation approaches for the classification of high-dimensional biological data
BACKGROUND: High-throughput genomic and proteomic data have important applications in medicine including prevention, diagnosis, treatment, and prognosis of diseases, and molecular biology, for example pathway identification. Many of such applications can be formulated to classification and dimension...
Tallennettuna:
| Päätekijät: | , |
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| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
BioMed Central
2013
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3854665/ https://ncbi.nlm.nih.gov/pubmed/24565287 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1752-0509-7-S4-S6 |
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