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A novel dimension reduction algorithm based on weighted kernel principal analysis for gene expression data
Gene expression data has the characteristics of high dimensionality and a small sample size and contains a large number of redundant genes unrelated to a disease. The direct application of machine learning to classify this type of data will not only incur a great time cost but will also sometimes fa...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8513872/ https://www.ncbi.nlm.nih.gov/pubmed/34644329 http://dx.doi.org/10.1371/journal.pone.0258326 |