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DIVIS: a semantic DIstance to improve the VISualisation of heterogeneous phenotypic datasets
BACKGROUND: Thanks to the wider spread of high-throughput experimental techniques, biologists are accumulating large amounts of datasets which often mix quantitative and qualitative variables and are not always complete, in particular when they regard phenotypic traits. In order to get a first insig...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8981856/ https://www.ncbi.nlm.nih.gov/pubmed/35379292 http://dx.doi.org/10.1186/s13040-022-00293-y |