Format:
vii, 81, xxxii Seiten
,
Illustrationen, Diagramme
Content:
Since half a century, cytometry has been a major scientific discipline in the field of cytomics - the study of system’s biology at single cell level. It enables the investigation of physiological processes, functional characteristics and rare events with proteins by analysing multiple parameters on an individual cell basis. In the last decade, mass cytometry has been established which increased the parallel measurement to up to 50 proteins. This has shifted the analysis strategy from conventional consecutive manual gates towards multi-dimensional data processing. Novel algorithms have been developed to tackle these high-dimensional protein combinations in the data. They are mainly based on clustering or non-linear dimension reduction techniques, or both, often combined with an upstream downsampling procedure. However, these tools have obstacles either in comprehensible interpretability, reproducibility, computational complexity or in comparability between samples and groups. To address this bottleneck, a reproducible, semi-automated ...
Note:
Dissertation Universität Potsdam 2019
Additional Edition:
Erscheint auch als Online-Ausgabe Hoang, Yen De novo binning strategy to analyze and visualize multi-dimensional cytometric data Potsdam, 2019
Language:
English
Keywords:
Cytometrie
;
Hochschulschrift
Author information:
Baumgrass, Ria 1958-
Author information:
Selbig, Joachim
