Predicting Cell Populations in Single Cell Mass Cytometry Data.

ABSTRACT: Mass cytometry by time-of-flight (CyTOF) is a valuable technology for high-dimensional analysis at the single cell level. Identification of different cell populations is an important task during the data analysis. Many clustering tools can perform this task, which is essential to identify "new" cell populations in explorative experiments. However, relying on clustering is laborious since it often involves manual annotation, which significantly limits the reproducibility of identifying cell-populations across different samples. The latter is particularly important in studies comparing different conditions, for example in cohort studies. Learning cell populations from an annotated set of cells solves these problems. However, currently available methods for automatic cell population identific

SUBMITTER: Abdelaal T 

PROVIDER: S-EPMC6767556 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature