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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

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