Cargando…
Immune cell type signature discovery and random forest classification for analysis of single cell gene expression datasets
BACKGROUND: Robust immune cell gene expression signatures are central to the analysis of single cell studies. Nearly all known sets of immune cell signatures have been derived by making use of only single gene expression datasets. Utilizing the power of multiple integrated datasets could lead to hig...
Autores principales: | Aybey, Bogac, Zhao, Sheng, Brors, Benedikt, Staub, Eike |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10441575/ https://www.ncbi.nlm.nih.gov/pubmed/37609075 http://dx.doi.org/10.3389/fimmu.2023.1194745 |
Ejemplares similares
-
CONET: copy number event tree model of evolutionary tumor history for single-cell data
por: Markowska, Magda, et al.
Publicado: (2022) -
Deconvolution of sarcoma methylomes reveals varying degrees of immune cell infiltrates with association to genomic aberrations
por: Simon, Malte, et al.
Publicado: (2021) -
Correction to: Deconvolution of sarcoma methylomes reveals varying degrees of immune cell infiltrates with association to genomic aberrations
por: Simon, Malte, et al.
Publicado: (2022) -
A theoretical framework of immune cell phenotypic classification and discovery
por: Hu, Yuzhe, et al.
Publicado: (2023) -
Corrigendum: A theoretical framework of immune cell phenotypic classification and discovery
por: Hu, Yuzhe, et al.
Publicado: (2023)