Results 41 to 50 of about 9,325 (207)
Understanding Immune Responses with Single-Cell RNA Sequencing and CyTOF Across Different Diseases and Model Organisms [PDF]
, 2021 The immune system is an integral part of a healthy functioning organism. Immune responses during the disease are complex and include the interplay of many cell subsets.
Esaulova, Ekaterina
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CytoF data analysis with Bioconductor packages
, 2020 Mass cytometry or Cytometry by Time Of Flight (CyTOF) is used to study cell population variation between different experimental conditions. This technology measures the expression of more than 50 proteins at single cell resolution by using heavy metal isotope labelled antibodies.
Anne-Maud Ferreira +5 more
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Ab initio Spillover Compensation in CyTOF Data [PDF]
, 2020 Abstract Signal intensity measured in a mass cytometry (CyTOF) channel can often be affected by the neighboring channels due to technological limitations. Such signal artifacts are known as spillover effects and can substantially limit the accuracy of cell population clustering. Current approaches reduce these effects
Qi Miao +8 more
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Liu et al., Epigenetic reprogramming shapes the cellular landscape of schwannoma: CyTOF data
, 2023 Cytof .fcs data for Liu et al., Epigenetic reprogramming shapes the cellular landscape of schwannoma, Nature Communications ...
Cho, Nam Woo, Cho, N (via Mendeley Data)
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Profiling cellular heterogeneity in asthma with single cell multiparameter CyTOF
Journal of Leukocyte Biology, 2020 AbstractAsthma is a chronic inflammatory disease of the airways that afflicts over 30 million individuals in the United States and over 300 million individuals worldwide. The inflammatory response in the airways is often characterized by the analysis of sputum, which contains multiple types of cells including neutrophils, macrophages, lymphocytes, and ...
Emma Stewart +3 more
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Correction: Screening: CyTOF—the next generation of cell detection [PDF]
Nature Reviews Rheumatology, 2012 Nat. Rev. Rheumatol. 7, 502–503 (2011); doi:10.1038/nrrheum.2011.110 In the version of this article initially published in print and online, the author did not include an acknowledgement of grant support as required by his funding policy. This omission has been corrected for the HTML and PDF versions of the article.
R. K. Cheung, P. J. Utz
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, 2022 Comparison of machine-learning methods by different measurements for CyTOF Dataset 1 (13 biomarkers, 24 labeled cell types).
Lijun Cheng (3469445) +4 more
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A systematic comparison of novel and existing differential analysis methods for CyTOF data
Briefings in Bioinformatics, 2021 Abstract Cytometry techniques are widely used to discover cellular characteristics at single-cell resolution. Many data analysis methods for cytometry data focus solely on identifying subpopulations via clustering and testing for differential cell abundance.
Lis Arend +7 more
openaire +5 more sources
McSNAC: A software to approximate first‐order signaling networks from mass cytometry data
Quantitative Biology, 2023 Background Mass cytometry (CyTOF) gives unprecedented opportunity to simultaneously measure up to 40 proteins in single cells, with a theoretical potential to reach 100 proteins.
Darren Wethington +2 more
doaj +1 more source