ceas: an R package for Seahorse data analysis and visualization
ceas is available on CRAN (https://cran.r-project.org/package=ceas). Source code and installable tarballs are freely available for download at https://github.com/jamespeapen/ceas/releases/ under the MIT license. Package documentation may be found at https://jamespeapen.github.io/ceas/. ceas is implemented in R and is supported on macOS, Windows and Linux.
Authors
- Carrie R. Graveel (ORCID: https://orcid.org/0000-0001-7251-5642)
- Hui Shen (ORCID: https://orcid.org/0000-0001-9767-4084)
- Matthew R. Steensma (ORCID: https://orcid.org/0000-0002-9003-6730)
- Rachel J. House (ORCID: https://orcid.org/0000-0003-2176-0431)
- James Eapen (ORCID: https://orcid.org/0000-0001-6016-3598)
Institutions
- Van Andel Institute (US)
- Helen DeVos Children's Hospital (US)
- Corewell Health
- Michigan State University (US)
Publication Details
- Journal
- Bioinformatics
- Published
- 2024-08-01
- DOI
- https://doi.org/10.1093/bioinformatics/btae503
- Citations
- 1
- Primary Topic
- Aquatic life and conservation
- Type
- article
- Field-Weighted Citation Impact
- 1.20
Funders
- National Cancer Institute