One-Step Robust Low-Rank Subspace Segmentation for Tumor Sample Clustering

Clustering of tumor samples can help identify cancer types and discover new cancer subtypes, which is essential for effective cancer treatment. Although many traditional clustering methods have been proposed for tumor sample clustering, advanced algorithms with better performance are still needed. L...

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Detalles Bibliográficos
Autores principales: Liu, Jian, Cheng, Yuhu, Wang, Xuesong, Ge, Shuguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8674076/
https://www.ncbi.nlm.nih.gov/pubmed/34925501
http://dx.doi.org/10.1155/2021/9990297

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8674076/
https://www.ncbi.nlm.nih.gov/pubmed/34925501
http://dx.doi.org/10.1155/2021/9990297

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