Computationally efficient multi-sample flow cytometry data analysis using Gaussian mixture models

Abstract Background An important challenge in flow cytometry (FCM) data analysis is making comparisons of corresponding cell populations across multiple FCM samples. An interesting solution is creating a statistical mixture model for multiple samples simultaneously, as such a multi-sample model can...

Полное описание

Библиографические подробности

Главные авторы:	Philip Rutten, Tim R. Mocking, Jacqueline Cloos, Wessel N. van Wieringen, Costa Bachas
Формат:	Artigo
Язык:	Inglês
Опубликовано:	BMC 2025-10-01
Серии:	BMC Bioinformatics
Предметы:	Gaussian mixture models EM algorithm Flow cytometry Large-scale data Clustering Classification
Online-ссылка:	https://doi.org/10.1186/s12859-025-06285-z
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!