Performance of computational algorithms to deconvolve heterogeneous bulk ovarian tumor tissue depends on experimental factors

BACKGROUND: Single-cell gene expression profiling provides unique opportunities to understand tumor heterogeneity and the tumor microenvironment. Because of cost and feasibility, profiling bulk tumors remains the primary population-scale analytical strategy. Many algorithms can deconvolve these tumo...

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Detalles Bibliográficos
Autores principales: Hippen, Ariel A., Omran, Dalia K., Weber, Lukas M., Jung, Euihye, Drapkin, Ronny, Doherty, Jennifer A., Hicks, Stephanie C., Greene, Casey S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10588129/
https://www.ncbi.nlm.nih.gov/pubmed/37864274
http://dx.doi.org/10.1186/s13059-023-03077-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10588129/
https://www.ncbi.nlm.nih.gov/pubmed/37864274
http://dx.doi.org/10.1186/s13059-023-03077-7

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