Robust single-cell matching and multimodal analysis using shared and distinct features

The ability to align individual cellular information from multiple experimental sources is fundamental for a systems-level understanding of biological processes. However, currently available tools are mainly designed for single-cell transcriptomics matching and integration, and generally rely on a l...

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Detalles Bibliográficos
Autores principales: Zhu, Bokai, Chen, Shuxiao, Bai, Yunhao, Chen, Han, Liao, Guanrui, Mukherjee, Nilanjan, Vazquez, Gustavo, McIlwain, David R., Tzankov, Alexandar, Lee, Ivan T., Matter, Matthias S., Goltsev, Yury, Ma, Zongming, Nolan, Garry P., Jiang, Sizun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9911356/
https://www.ncbi.nlm.nih.gov/pubmed/36624212
http://dx.doi.org/10.1038/s41592-022-01709-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9911356/
https://www.ncbi.nlm.nih.gov/pubmed/36624212
http://dx.doi.org/10.1038/s41592-022-01709-7

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