Gdaphen, R pipeline to identify the most important qualitative and quantitative predictor variables from phenotypic data
Abstract Background In individuals or animals suffering from genetic or acquired diseases, it is important to identify which clinical or phenotypic variables can be used to discriminate between disease and non-disease states, the response to treatments or sexual dimorphism. However, the data often s...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BMC
2023-01-01
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| coleção: | BMC Bioinformatics |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1186/s12859-022-05111-0 |
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