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Visualization of very large high-dimensional data sets as minimum spanning trees
The chemical sciences are producing an unprecedented amount of large, high-dimensional data sets containing chemical structures and associated properties. However, there are currently no algorithms to visualize such data while preserving both global and local features with a sufficient level of deta...
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| Publicado no: | J Cheminform |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer International Publishing
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7015965/ https://ncbi.nlm.nih.gov/pubmed/33431043 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13321-020-0416-x |
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