Analysis of Mass Cytometry Data

Research output: Chapter in Book/Report/Conference proceedingBook chapter – Annual report year: 2019Researchpeer-review

Standard

Analysis of Mass Cytometry Data. / Pedersen, Christina B.; Olsen, Lars R.

Mass Cytometry: Methods and Protocols. 1. ed. Springer, 2019. p. 267-279 (Methods in Molecular Biology).

Research output: Chapter in Book/Report/Conference proceedingBook chapter – Annual report year: 2019Researchpeer-review

Harvard

Pedersen, CB & Olsen, LR 2019, Analysis of Mass Cytometry Data. in Mass Cytometry: Methods and Protocols. 1 edn, Springer, Methods in Molecular Biology, pp. 267-279. https://doi.org/10.1007/978-1-4939-9454-0_17

APA

Pedersen, C. B., & Olsen, L. R. (2019). Analysis of Mass Cytometry Data. In Mass Cytometry: Methods and Protocols (1 ed., pp. 267-279). Springer. Methods in Molecular Biology https://doi.org/10.1007/978-1-4939-9454-0_17

CBE

Pedersen CB, Olsen LR. 2019. Analysis of Mass Cytometry Data. In Mass Cytometry: Methods and Protocols. 1 ed. Springer. pp. 267-279. (Methods in Molecular Biology). https://doi.org/10.1007/978-1-4939-9454-0_17

MLA

Pedersen, Christina B. and Lars R. Olsen "Analysis of Mass Cytometry Data". Mass Cytometry: Methods and Protocols. 1 udg., Springer. (Methods in Molecular Biology). 2019, 267-279. https://doi.org/10.1007/978-1-4939-9454-0_17

Vancouver

Pedersen CB, Olsen LR. Analysis of Mass Cytometry Data. In Mass Cytometry: Methods and Protocols. 1 ed. Springer. 2019. p. 267-279. (Methods in Molecular Biology). https://doi.org/10.1007/978-1-4939-9454-0_17

Author

Pedersen, Christina B. ; Olsen, Lars R. / Analysis of Mass Cytometry Data. Mass Cytometry: Methods and Protocols. 1. ed. Springer, 2019. pp. 267-279 (Methods in Molecular Biology).

Bibtex

@inbook{2f3a52a70ba244bc817575f710ffc12b,
title = "Analysis of Mass Cytometry Data",
abstract = "The CyTOF system produces single cell protein expression data similar to that from flow cytometry, but with an increased number of features measured. Traditionally, analysis of these data is carried out using manual gating, but with the increased dimensionality, manual gating becomes a suboptimal analysis strategy in some cases. To address this, a number of data analysis tools for tasks such as clustering, differential abundance analysis, and visualization have been developed and made freely available. We here introduce some of the more popular tools for CyTOF analysis and exemplify their utility in a common analysis workflow.",
keywords = "Mass cytometry, Dimensionality reduction, Clustering",
author = "Pedersen, {Christina B.} and Olsen, {Lars R.}",
year = "2019",
doi = "10.1007/978-1-4939-9454-0_17",
language = "English",
isbn = "978-1-4939-9453-3",
pages = "267--279",
booktitle = "Mass Cytometry: Methods and Protocols",
publisher = "Springer",
edition = "1",

}

RIS

TY - CHAP

T1 - Analysis of Mass Cytometry Data

AU - Pedersen, Christina B.

AU - Olsen, Lars R.

PY - 2019

Y1 - 2019

N2 - The CyTOF system produces single cell protein expression data similar to that from flow cytometry, but with an increased number of features measured. Traditionally, analysis of these data is carried out using manual gating, but with the increased dimensionality, manual gating becomes a suboptimal analysis strategy in some cases. To address this, a number of data analysis tools for tasks such as clustering, differential abundance analysis, and visualization have been developed and made freely available. We here introduce some of the more popular tools for CyTOF analysis and exemplify their utility in a common analysis workflow.

AB - The CyTOF system produces single cell protein expression data similar to that from flow cytometry, but with an increased number of features measured. Traditionally, analysis of these data is carried out using manual gating, but with the increased dimensionality, manual gating becomes a suboptimal analysis strategy in some cases. To address this, a number of data analysis tools for tasks such as clustering, differential abundance analysis, and visualization have been developed and made freely available. We here introduce some of the more popular tools for CyTOF analysis and exemplify their utility in a common analysis workflow.

KW - Mass cytometry

KW - Dimensionality reduction

KW - Clustering

U2 - 10.1007/978-1-4939-9454-0_17

DO - 10.1007/978-1-4939-9454-0_17

M3 - Book chapter

SN - 978-1-4939-9453-3

SP - 267

EP - 279

BT - Mass Cytometry: Methods and Protocols

PB - Springer

ER -