Lataa...
Seagull: lasso, group lasso and sparse-group lasso regularization for linear regression models via proximal gradient descent
BACKGROUND: Statistical analyses of biological problems in life sciences often lead to high-dimensional linear models. To solve the corresponding system of equations, penalization approaches are often the methods of choice. They are especially useful in case of multicollinearity, which appears if th...
Tallennettuna:
| Julkaisussa: | BMC Bioinformatics |
|---|---|
| Päätekijät: | , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
BioMed Central
2020
|
| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7493359/ https://ncbi.nlm.nih.gov/pubmed/32933477 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-020-03725-w |
| Tagit: |
Lisää tagi
Ei tageja, Lisää ensimmäinen tagi!
|