scMC learns biological variation through the alignment of multiple single-cell genomics datasets

Distinguishing biological from technical variation is crucial when integrating and comparing single-cell genomics datasets across different experiments. Existing methods lack the capability in explicitly distinguishing these two variations, often leading to the removal of both variations. Here, we p...

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Detalles Bibliográficos
Autores principales: Zhang, Lihua, Nie, Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7784288/
https://www.ncbi.nlm.nih.gov/pubmed/33397454
http://dx.doi.org/10.1186/s13059-020-02238-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7784288/
https://www.ncbi.nlm.nih.gov/pubmed/33397454
http://dx.doi.org/10.1186/s13059-020-02238-2

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