ICAT: a novel algorithm to robustly identify cell states following perturbations in single-cell transcriptomes

MOTIVATION: The detection of distinct cellular identities is central to the analysis of single-cell RNA sequencing (scRNA-seq) experiments. However, in perturbation experiments, current methods typically fail to correctly match cell states between conditions or erroneously remove population substruc...

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Detalles Bibliográficos
Autores principales: Hawkins, Dakota Y, Zuch, Daniel T, Huth, James, Rodriguez-Sastre, Nahomie, McCutcheon, Kelley R, Glick, Abigail, Lion, Alexandra T, Thomas, Christopher F, Descoteaux, Abigail E, Johnson, William Evan, Bradham, Cynthia A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10172037/
https://www.ncbi.nlm.nih.gov/pubmed/37086439
http://dx.doi.org/10.1093/bioinformatics/btad278

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10172037/
https://www.ncbi.nlm.nih.gov/pubmed/37086439
http://dx.doi.org/10.1093/bioinformatics/btad278

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