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...

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Detalles Bibliográficos
Autores principales: Sun, Hongwei, Wang, Jiu, Zhang, Zhongwen, Hu, Naibao, Wang, Tong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
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

Internet

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

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