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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...
Autores principales: | Imoto, Yusuke, Nakamura, Tomonori, Escolar, Emerson G, Yoshiwaki, Michio, Kojima, Yoji, Yabuta, Yukihiro, Katou, Yoshitaka, Yamamoto, Takuya, Hiraoka, Yasuaki, Saitou, Mitinori |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Life Science Alliance LLC
2022
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Materias: | |
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 |
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