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An Efficient Algorithm for the Detection of Outliers in Mislabeled Omics Data
High dimensionality and noise have made it difficult to detect related biomarkers in omics data. Through previous study, penalized maximum trimmed likelihood estimation is effective in identifying mislabeled samples in high-dimensional data with mislabeled error. However, the algorithm commonly used...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8716222/ https://www.ncbi.nlm.nih.gov/pubmed/34976114 http://dx.doi.org/10.1155/2021/9436582 |