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Adits to the website for v0.3.0 release
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NEWS.md

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* Included storage of the statistical test results in the `condor` object
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* Added the option to display statistics to the `plot_frequency_boxplot` function - so far for `wilcox`, `t_test` and `diffcyt`
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* Added function to correlate the cyCONDOR results and the manual gating with FlowJo or similar software (`corr_plot_comparison`)
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* Companion Docker image is not multi-platform `amd64` and `arm64` for better performance on Mac
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* **Experimental**: Added a function to write FCS files from a `condor` object (`write_fcs`). Currently the function if writing in the .fcs file the cyCONDOR transformed values, we will change to the original values in the next iteration after more extensive testing.
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# cyCONDOR 0.2.1

README.md

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@@ -17,7 +17,7 @@ We developed an easy-to-use computational framework (condor) covering not only a
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We recommend using `cyCONDOR` from our pre-build `Docker` container [lorenzobonaguro/cycondor](https://hub.docker.com/r/lorenzobonaguro/cycondor), the latest version of the image can be pulled with:
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```
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docker pull lorenzobonaguro/cycondor:v022
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docker pull lorenzobonaguro/cycondor:v030
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```
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To run the image you can then follow the following script
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-e USER=[YOURUSERNAME] -e PASSWORD=[YOURPASSWORD] \
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--name condor_analysis \
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-v [PATHTODATA]:/home/[YOURUSERNAME]/data/ \
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lorenzobonaguro/cycondor:v022
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lorenzobonaguro/cycondor:v030
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```
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You can then access RStudio from your web browser at the address
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docs/articles/Batch_correction.html

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docs/articles/Cell_type_prediction.html

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