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Variable Selection for Sparse Data with Applications to Vaginal Microbiome and Gene Expression Data
Sparse data with a high portion of zeros arise in various disciplines. Modeling sparse high-dimensional data is a challenging and growing research area. In this paper, we provide statistical methods and tools for analyzing sparse data in a fairly general and complex context. We utilize two real scie...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9956208/ https://www.ncbi.nlm.nih.gov/pubmed/36833330 http://dx.doi.org/10.3390/genes14020403 |