Package: colocr 0.1.1

Mahmoud Ahmed

colocr: Conduct Co-Localization Analysis of Fluorescence Microscopy Images

Automate the co-localization analysis of fluorescence microscopy images. Selecting regions of interest, extract pixel intensities from the image channels and calculate different co-localization statistics. The methods implemented in this package are based on Dunn et al. (2011) <doi:10.1152/ajpcell.00462.2010>.

Authors:Mahmoud Ahmed [aut, cre]

colocr_0.1.1.tar.gz
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colocr.pdf |colocr.html
colocr/json (API)
NEWS

# Install 'colocr' in R:
install.packages('colocr', repos = c('https://packages.ropensci.org', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/ropensci/colocr/issues

On CRAN:

colocalizationimage-analysis

11 exports 26 stars 5.74 score 55 dependencies 2 mentions 21 scripts 234 downloads

Last updated 5 years agofrom:9b7bd6ef54 (on master). Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 28 2024
R-4.5-winNOTESep 28 2024
R-4.5-linuxNOTESep 28 2024
R-4.4-winOKSep 28 2024
R-4.4-macOKSep 28 2024
R-4.3-winOKSep 28 2024
R-4.3-macOKSep 28 2024

Exports:.intensity_get.labels_add.manders.pearson%>%colocr_appimage_loadroi_checkroi_selectroi_showroi_test

Dependencies:base64encbmpbslibcachemclicolorspacecommonmarkcpp11crayoncurldigestdownloaderfarverfastmapfontawesomefsgluehtmltoolshttpuvigraphimagerjpegjquerylibjsonlitelabelinglaterlatticelifecyclemagickmagrittrMatrixmemoisemimemunsellpkgconfigpngpromisespurrrR6rappdirsRColorBrewerRcppreadbitmaprlangsassscalesshinysourcetoolsstringistringrtiffvctrsviridisLitewithrxtable

Using colocr

Rendered fromusing_colocr.Rmdusingknitr::rmarkdownon Sep 28 2024.

Last update: 2019-05-28
Started: 2018-07-18