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Application of fused lasso logistic regression to the study of corpus callosum thickness in early Alzheimer's disease
We propose a fused lasso logistic regression to analyze callosal thickness profiles. The fused lasso regression imposes penalties on both the l(1)-norm of the model coefficients and their successive differences, and finds only a small number of non-zero coefficients which are locally constant. An it...
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| Publicat a: | J Neurosci Methods |
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| Autors principals: | , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2013
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4314964/ https://ncbi.nlm.nih.gov/pubmed/24121089 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jneumeth.2013.09.017 |
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