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Mercator: a pipeline for multi-method, unsupervised visualization and distance generation
SUMMARY: Unsupervised machine learning provides tools for researchers to uncover latent patterns in large-scale data, based on calculated distances between observations. Methods to visualize high-dimensional data based on these distances can elucidate subtypes and interactions within multi-dimension...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8428582/ https://www.ncbi.nlm.nih.gov/pubmed/33515233 http://dx.doi.org/10.1093/bioinformatics/btab037 |