Seagull: lasso, group lasso and sparse-group lasso regularization for linear regression models via proximal gradient descent
Abstract 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 appea...
محفوظ في:
| المؤلفون الرئيسيون: | , , , , |
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| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
BMC
2020-09-01
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| سلاسل: | BMC Bioinformatics |
| الموضوعات: | |
| الوصول للمادة أونلاين: | http://link.springer.com/article/10.1186/s12859-020-03725-w |
| الوسوم: |
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