cellmigRation
Track Cells, Analyze Cell Trajectories and Compute Migration Statistics
Bioconductor version: 3.23 · Package version: 1.20.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("cellmigRation") Details
| Maintainer | Waldir Leoncio <w.l.netto@medisin.uio.no> |
| Author | Salim Ghannoum [aut, cph], Damiano Fantini [aut, cph], Waldir Leoncio [cre, aut], Øystein Sørensen [aut] |
| License | GPL-2 |
| URL | https://github.com/ocbe-uio/cellmigRation/ |
| Bug Reports | https://github.com/ocbe-uio/cellmigRation/issues |
| Downloads rank | 221 |
| Source branch | RELEASE_3_23 |
| biocViews | CellBiology, DataImport, DataRepresentation, Software |
Documentation
Download
Dependencies
Depends: R (>= 4.1), methods, foreach
Imports: tiff, graphics, stats, utils, reshape2, parallel, doParallel, grDevices, matrixStats, FME, SpatialTools, sp, vioplot, FactoMineR, Hmisc
Suggests: knitr, rmarkdown, dplyr, ggplot2, RUnit, BiocGenerics, BiocManager, kableExtra, rgl