A truncated nuclear norm and graph-Laplacian regularized low-rank representation method for tumor clustering and gene selection

BACKGROUND: Clustering and feature selection act major roles in many communities. As a matrix factorization, Low-Rank Representation (LRR) has attracted lots of attentions in clustering and feature selection, but sometimes its performance is frustrated when the data samples are insufficient or conta...

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Detalles Bibliográficos
Autor principal: Liu, Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8772046/
https://www.ncbi.nlm.nih.gov/pubmed/35057728
http://dx.doi.org/10.1186/s12859-021-04333-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8772046/
https://www.ncbi.nlm.nih.gov/pubmed/35057728
http://dx.doi.org/10.1186/s12859-021-04333-y

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