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Multivariate classification of neuroimaging data with nested subclasses: Biased accuracy and implications for hypothesis testing
Biological data sets are typically characterized by high dimensionality and low effect sizes. A powerful method for detecting systematic differences between experimental conditions in such multivariate data sets is multivariate pattern analysis (MVPA), particularly pattern classification. However, i...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6177201/ https://www.ncbi.nlm.nih.gov/pubmed/30260958 http://dx.doi.org/10.1371/journal.pcbi.1006486 |