Resolution of the curse of dimensionality in single-cell RNA sequencing data analysis

Single-cell RNA sequencing (scRNA-seq) can determine gene expression in numerous individual cells simultaneously, promoting progress in the biomedical sciences. However, scRNA-seq data are high-dimensional with substantial technical noise, including dropouts. During analysis of scRNA-seq data, such...

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Detalles Bibliográficos
Autores principales: Imoto, Yusuke, Nakamura, Tomonori, Escolar, Emerson G, Yoshiwaki, Michio, Kojima, Yoji, Yabuta, Yukihiro, Katou, Yoshitaka, Yamamoto, Takuya, Hiraoka, Yasuaki, Saitou, Mitinori
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Life Science Alliance LLC 2022
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9363502/
https://www.ncbi.nlm.nih.gov/pubmed/35944930
http://dx.doi.org/10.26508/lsa.202201591

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9363502/
https://www.ncbi.nlm.nih.gov/pubmed/35944930
http://dx.doi.org/10.26508/lsa.202201591

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