immunoClust-package: immunoClust - Automated Pipeline for Population Detection in...
In immunoClust: immunoClust - Automated Pipeline for Population Detection in Flow Cytometry
Description
Details
Author(s)
References
Description
Model based clustering and meta-custering routines for Flow Cytometry (FC) data.
The immunoClust-pipeline consits of two major procedures:
cell.process Clustering of cell-events
meta.process Meta-clustering of cell-clusters
Cell-events clustering is performed for each FC data sample separately.
After this all cell-clustering results are collected in a vector and
meta-clustering is performed to obtain the across samples popluations.
Details
Package: immunoClust
Type: Package
Version: 1.0.0
Depends: R(>= 2.13.0), methods, stats, graphics, grid, lattice,
flowCore
Date: 2015-01-28
License: Artistic-2.0
Author(s)
Till Sörensen <till-antoni.soerensen@charited.de>
References
Sörensen, T., Baumgart, S., Durek, P., Grützkau, A. and Häupl, T.
immunoClust - an automated analysis pipeline for the identification of
immunophenotypic signatures in high-dimensional cytometric datasets.
Cytometry A (accepted).
immunoClust documentation built on Nov. 8, 2020, 5:19 p.m.
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Description Details Author(s) References
Description
Model based clustering and meta-custering routines for Flow Cytometry (FC) data.
The immunoClust-pipeline consits of two major procedures:
cell.process | Clustering of cell-events |
meta.process | Meta-clustering of cell-clusters |
Cell-events clustering is performed for each FC data sample separately. After this all cell-clustering results are collected in a vector and meta-clustering is performed to obtain the across samples popluations.
Details
| Package: | immunoClust |
| Type: | Package |
| Version: | 1.0.0 |
| Depends: | R(>= 2.13.0), methods, stats, graphics, grid, lattice, flowCore |
| Date: | 2015-01-28 |
| License: | Artistic-2.0 |
Author(s)
Till Sörensen <till-antoni.soerensen@charited.de>
References
Sörensen, T., Baumgart, S., Durek, P., Grützkau, A. and Häupl, T. immunoClust - an automated analysis pipeline for the identification of immunophenotypic signatures in high-dimensional cytometric datasets. Cytometry A (accepted).
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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