Cargando…
Semi‐supervised empirical Bayes group‐regularized factor regression
The features in a high‐dimensional biomedical prediction problem are often well described by low‐dimensional latent variables (or factors). We use this to include unlabeled features and additional information on the features when building a prediction model. Such additional feature information is of...
| Autores principales: | , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9796498/ https://www.ncbi.nlm.nih.gov/pubmed/35730912 http://dx.doi.org/10.1002/bimj.202100105 |