This is the released version of cellmigRation; for the devel version, see cellmigRation.
Track Cells, Analyze Cell Trajectories and Compute Migration StatisticsBioconductor version: Release (3.21)
Import TIFF images of fluorescently labeled cells, and track cell movements over time. Parallelization is supported for image processing and for fast computation of cell trajectories. In-depth analysis of cell trajectories is enabled by 15 trajectory analysis functions.
Author: Salim Ghannoum [aut, cph], Damiano Fantini [aut, cph], Waldir Leoncio [cre, aut], Ãystein Sørensen [aut]
Maintainer: Waldir Leoncio <w.l.netto at medisin.uio.no>
Citation (from within R, entercitation("cellmigRation")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("cellmigRation")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("cellmigRation")
Details biocViews CellBiology, DataImport, DataRepresentation, Software Version 1.16.0 In Bioconductor since BioC 3.13 (R-4.1) (4 years) License GPL-2 Depends R (>= 4.1), methods, foreach Imports tiff, graphics, stats, utils, reshape2, parallel, doParallel, grDevices, matrixStats, FME, SpatialTools, sp, vioplot, FactoMineR, Hmisc System Requirements URL https://github.com/ocbe-uio/cellmigRation/ Bug Reports https://github.com/ocbe-uio/cellmigRation/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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