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Multiblock variable influence on orthogonal projections (MB-VIOP) for enhanced interpretation of total, global, local and unique variations in OnPLS models
BACKGROUND: For multivariate data analysis involving only two input matrices (e.g., X and Y), the previously published methods for variable influence on projection (e.g., VIP(OPLS) or VIP(O2PLS)) are widely used for variable selection purposes, including (i) variable importance assessment, (ii) dime...
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| Publicado no: | BMC Bioinformatics |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8019512/ https://ncbi.nlm.nih.gov/pubmed/33812384 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-021-04015-9 |
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