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...

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Detalles Bibliográficos
Autores principales: Eid, Rayan, Landès, Claudine, Pernet, Alix, Benoît, Emmanuel, Santagostini, Pierre, Ghaziri, Angelina El, Bourbeillon, Julie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
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

Internet

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

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