Identifying tumor cells at the single-cell level using machine learning

Tumors are complex tissues of cancerous cells surrounded by a heterogeneous cellular microenvironment with which they interact. Single-cell sequencing enables molecular characterization of single cells within the tumor. However, cell annotation—the assignment of cell type or cell state to each seque...

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Detalles Bibliográficos
Autores principales: Dohmen, Jan, Baranovskii, Artem, Ronen, Jonathan, Uyar, Bora, Franke, Vedran, Akalin, Altuna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9150321/
https://www.ncbi.nlm.nih.gov/pubmed/35637521
http://dx.doi.org/10.1186/s13059-022-02683-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9150321/
https://www.ncbi.nlm.nih.gov/pubmed/35637521
http://dx.doi.org/10.1186/s13059-022-02683-1

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