devCellPy is a machine learning-enabled pipeline for automated annotation of complex multilayered single-cell transcriptomic data

A major informatic challenge in single cell RNA-sequencing analysis is the precise annotation of datasets where cells exhibit complex multilayered identities or transitory states. Here, we present devCellPy a highly accurate and precise machine learning-enabled tool that enables automated prediction...

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Detalles Bibliográficos
Autores principales: Galdos, Francisco X., Xu, Sidra, Goodyer, William R., Duan, Lauren, Huang, Yuhsin V., Lee, Soah, Zhu, Han, Lee, Carissa, Wei, Nicholas, Lee, Daniel, Wu, Sean M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9452519/
https://www.ncbi.nlm.nih.gov/pubmed/36071107
http://dx.doi.org/10.1038/s41467-022-33045-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9452519/
https://www.ncbi.nlm.nih.gov/pubmed/36071107
http://dx.doi.org/10.1038/s41467-022-33045-x

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