Hierarchical progressive learning of cell identities in single-cell data

Classification methods for scRNA-seq data are limited in their ability to learn from multiple datasets simultaneously. Here the authors present scHPL, a hierarchical progressive learning method that automatically finds relationships between cell populations across multiple datasets and constructs a...

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Autores principales: Lieke Michielsen, Marcel J. T. Reinders, Ahmed Mahfouz
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/4e15acbcd00048f2abe98c564cc7ece7
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