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A Penalization Method for Estimating Heterogeneous Covariate Effects in Cancer Genomic Data
In high-throughput profiling studies, extensive efforts have been devoted to searching for the biomarkers associated with the development and progression of complex diseases. The heterogeneity of covariate effects associated with the outcomes across subjects has been noted in the literature. In this...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9025588/ https://www.ncbi.nlm.nih.gov/pubmed/35456506 http://dx.doi.org/10.3390/genes13040702 |