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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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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2022
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| 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 |