Measuring cellular energetics is essential to understanding a matrixâs (e.g. cell, tissue or biofluid) metabolic state. The Agilent Seahorse machine is a common method to measure real-time cellular energetics, but existing analysis tools are highly manual or lack functionality. The Cellular Energetics Analysis Software (ceas) R package fills this analytical gap by providing modular and automated Seahorse data analysis and visualization using the methods described by Mookerjee et al. (2017) <doi:10.1074/jbc.m116.774471>.
Version: 1.3.0 Imports: data.table, ggplot2, lme4, readxl, stats Suggests: knitr, rmarkdown, testthat (≥ 3.0.0) Published: 2024-12-21 DOI: 10.32614/CRAN.package.ceas Author: Rachel House [aut, cre], James P. Eapen [aut], Hui Shen [fnd], Carrie R. Graveel [fnd], Matthew R. Steensma [fnd], Van Andel Institute [cph] Maintainer: Rachel House <rachel.house at vai.org> BugReports: https://github.com/jamespeapen/ceas/issues/ License: MIT + file LICENSE URL: https://jamespeapen.github.io/ceas/, https://github.com/jamespeapen/ceas/ NeedsCompilation: no Citation: ceas citation info Materials: README NEWS CRAN checks: ceas results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=ceas to link to this page.
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