Application of Sparse Representation in Bioinformatics

Inspired by L1-norm minimization methods, such as basis pursuit, compressed sensing, and Lasso feature selection, in recent years, sparse representation shows up as a novel and potent data processing method and displays powerful superiority. Researchers have not only extended the sparse representati...

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Detalles Bibliográficos
Autores principales: Han, Shuguang, Wang, Ning, Guo, Yuxin, Tang, Furong, Xu, Lei, Ju, Ying, Shi, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8715914/
https://www.ncbi.nlm.nih.gov/pubmed/34976030
http://dx.doi.org/10.3389/fgene.2021.810875

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8715914/
https://www.ncbi.nlm.nih.gov/pubmed/34976030
http://dx.doi.org/10.3389/fgene.2021.810875

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