Ensemble dimensionality reduction and feature gene extraction for single-cell RNA-seq data

Single-cell RNA sequencing (scRNA-seq) technologies allow researchers to uncover the biological states of a single cell at high resolution. For computational efficiency and easy visualization, dimensionality reduction is necessary to capture gene expression patterns in low-dimensional space. Here we...

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Detalles Bibliográficos
Autores principales: Sun, Xiaoxiao, Liu, Yiwen, An, Lingling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7673125/
https://www.ncbi.nlm.nih.gov/pubmed/33203837
http://dx.doi.org/10.1038/s41467-020-19465-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7673125/
https://www.ncbi.nlm.nih.gov/pubmed/33203837
http://dx.doi.org/10.1038/s41467-020-19465-7

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