GBMdeconvoluteR accurately infers proportions of neoplastic and immune cell populations from bulk glioblastoma transcriptomics data

BACKGROUND: Characterizing and quantifying cell types within glioblastoma (GBM) tumors at scale will facilitate a better understanding of the association between the cellular landscape and tumor phenotypes or clinical correlates. We aimed to develop a tool that deconvolutes immune and neoplastic cel...

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Detalles Bibliográficos
Autores principales: Ajaib, Shoaib, Lodha, Disha, Pollock, Steven, Hemmings, Gemma, Finetti, Martina A, Gusnanto, Arief, Chakrabarty, Aruna, Ismail, Azzam, Wilson, Erica, Varn, Frederick S, Hunter, Bethany, Filby, Andrew, Brockman, Asa A, McDonald, David, Verhaak, Roel G W, Ihrie, Rebecca A, Stead, Lucy F
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Basic and Translational
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326489/
https://www.ncbi.nlm.nih.gov/pubmed/36689332
http://dx.doi.org/10.1093/neuonc/noad021

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326489/
https://www.ncbi.nlm.nih.gov/pubmed/36689332
http://dx.doi.org/10.1093/neuonc/noad021

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