MALDIcellassay
Automated MALDI Cell Assays Using Dose-Response Curve Fitting
Conduct automated cell-based assays using Matrix-Assisted Laser Desorption/Ionization (MALDI) methods for high-throughput screening of signals responsive to treatments. The package efficiently identifies high variance signals and fits dose-response curves to them. Quality metrics such as Z', V', log2FC, and CRS are provided for evaluating the potential of signals as biomarkers. The methodologies were introduced by Weigt et al. (2018) doi:10.1038/s41598-018-29677-z and refined by Unger et al. (2021) doi:10.1038/s41596-021-00624-z.
- Version0.4.47
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Last release08/29/2024
Documentation
Team
Thomas Enzlein
Insights
Last 30 days
This package has been downloaded 8 times in the last 30 days. Well, it's a start. Even the greatest papers had humble beginnings. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 2 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 900 times in the last 365 days. More downloads than an obscure whitepaper, but not enough to bring down any servers. A solid effort! The day with the most downloads was Aug 30, 2024 with 46 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports11 packages
- Suggests2 packages