CYBERTRACK2.0: zero-inflated model-based cell clustering and population tracking method for longitudinal mass cytometry data.


Journal

Bioinformatics (Oxford, England)
ISSN: 1367-4811
Titre abrégé: Bioinformatics
Pays: England
ID NLM: 9808944

Informations de publication

Date de publication:
12 07 2021
Historique:
received: 24 03 2020
revised: 16 09 2020
accepted: 28 09 2020
pubmed: 15 10 2020
medline: 16 7 2021
entrez: 14 10 2020
Statut: ppublish

Résumé

Recent advancements in high-dimensional single-cell technologies, such as mass cytometry, enable longitudinal experiments to track dynamics of cell populations and identify change points where the proportions vary significantly. However, current research is limited by the lack of tools specialized for analyzing longitudinal mass cytometry data. In order to infer cell population dynamics from such data, we developed a statistical framework named CYBERTRACK2.0. The framework's analytic performance was validated against synthetic and real data, showing that its results are consistent with previous research. CYBERTRACK2.0 is available at https://github.com/kodaim1115/CYBERTRACK2. Supplementary data are available at Bioinformatics online.

Identifiants

pubmed: 33051653
pii: 5922807
doi: 10.1093/bioinformatics/btaa873
pmc: PMC8275981
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1632-1634

Subventions

Organisme : JSPS Grant-in-Aid for Scientific Research
ID : 18H04798
Organisme : Japan Agency for Medical Research and Development
ID : JP19dm0107087h0004

Informations de copyright

© The Author(s) 2020. Published by Oxford University Press.

Références

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Auteurs

Kodai Minoura (K)

Division of Systems Biology.
Division of Immunology, Graduate School of Medicine, Nagoya University, Nagoya 4668550, Japan.

Ko Abe (K)

Division of Systems Biology.

Yuka Maeda (Y)

Division of Cancer Immunology, Research Institute/EPOC, National Cancer Center, Tokyo, Chiba 1040045/2778577, Japan.

Hiroyoshi Nishikawa (H)

Division of Immunology, Graduate School of Medicine, Nagoya University, Nagoya 4668550, Japan.
Division of Cancer Immunology, Research Institute/EPOC, National Cancer Center, Tokyo, Chiba 1040045/2778577, Japan.

Teppei Shimamura (T)

Division of Systems Biology.

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Classifications MeSH