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LJELSR: A Strengthened Version of JELSR for Feature Selection and Clustering
Feature selection and sample clustering play an important role in bioinformatics. Traditional feature selection methods separate sparse regression and embedding learning. Later, to effectively identify the significant features of the genomic data, Joint Embedding Learning and Sparse Regression (JELS...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412528/ https://www.ncbi.nlm.nih.gov/pubmed/30781701 http://dx.doi.org/10.3390/ijms20040886 |