A Novel Algorithm for Feature Selection Using Penalized Regression with Applications to Single-Cell RNA Sequencing Data †

SIMPLE SUMMARY: Single Cell RNA Sequencing generates gene expression data at a single cell resolution. While single cell RNA has many applications in biomedical research, the high dimensionality of the data produced poses a considerable computational challenge. This study proposes a novel algorithm...

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Detalles Bibliográficos
Autores principales: Sen Puliparambil, Bhavithry, Tomal, Jabed H., Yan, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9598401/
https://www.ncbi.nlm.nih.gov/pubmed/36290397
http://dx.doi.org/10.3390/biology11101495

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9598401/
https://www.ncbi.nlm.nih.gov/pubmed/36290397
http://dx.doi.org/10.3390/biology11101495

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