Automated cell type annotation and exploration of single-cell signaling dynamics using mass cytometry-Reference-Cited by-同舟云学术

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Automated cell type annotation and exploration of single-cell signaling dynamics using mass cytometry

Published:2024-07 Issue:7 Volume:27 Page:110261
ISSN:2589-0042
Container-title:iScience
language:en
Short-container-title:iScience

Author:

Kleftogiannnis Dimitrios,Gavasso Sonia,Tislevoll Benedicte Sjo,van der Meer Nisha,Motzfeldt Inga K.F.,Hellesøy Monica,Gullaksen Stein-Erik,Griessinger Emmanuel,Fagerholt Oda,Lenartova Andrea,Fløisand Yngvar,Schuringa Jan Jacob,Gjertsen Bjørn Tore,Jonassen Inge

Funder

University of Bergen

Publisher

Elsevier BV

Reference35 articles.

1. Single-Cell Trajectory Detection Uncovers Progression and Regulatory Coordination in Human B cell Development;Bendall;Cell,2014

2. Mass Cytometry: Single Cells, Many Features;Spitzer;Cell,2016

3. Mass Cytometry Imaging for the Study of Human Diseases—Applications and Data Analysis Strategies;Baharlou;Front. Immunol.,2019

4. Targeting the developmental origins of cancer;Skanderup;Nat. Cancer,2021

5. flowDensity: reproducing manual gating of flow cytometry data by automated density-based cell population identification;Malek;Bioinformatics,2015

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