Version 1.1.0 of @CytoExploreR is now available for download. This update doesn't include any major changes, but instead provides some important bug fixes. All users should install this update, which doesn't require any updates to cytoverse dependencies. https://t.co/71UJg5B2iD
Time to have your say! The next version of @CytoExploreR will likely come with a new default colourblind-friendly colour palette with improved contrast. See the demonstration and any feedback is welcome: https://t.co/4piIeQBN5I #cytometry
Ever wished you could could know where your population was BEFORE gating? Now cyto_plot can colour points based on expression of a third parameter. Look how easy it to locate the CD8 T Cells in this ungated data! Gating will never be the same! #openscience#cytometry
Did you know that @CytoExploreR now has support for any dimensionality reduction algorithm through cyto_map()? Simply pass the name of the function to the type argument. Time to get mapping! #openscience#cytometry https://t.co/SEC942Y1l1
Time to reward those who take the time to appropriately label their samples. cyto_names_parse() will split filenames by a delimiter and add these as experimental variables in cyto_details(). You can also do this automatically in cyto_setup by setting parse = TRUE. #openscience
Did you know that now you can import cytometry data analyzed on other platforms into @CytoExploreR using the CytoML package? See the website to find out how: https://t.co/umfCnSFa3n. Once imported you can create a @CytoExploreR gatingTemplate using cyto_gatingTemplate_generate().
Not only that, but it is immediately obvious where our dead cells are located! We can validate this by colouring the points based on uptake of our live dead dye (red). This forward gating approach will save you a lot of time!
Version 1.0.8 is available now! This is a major update that includes important bug fixes, speed improvements and new features. Docker images will be available soon. Check out the changelog for more details: https://t.co/8DowP463JV #openscience#cytometry
Version 1.0.7 is out now! FIt-SNE has been updated to version 1.2.1 to use PCA initialization by default. Versioned docker images are now available and FIt-SNE comes pre-configured! cyto_map() demo has been posted on GitHub: https://t.co/SEC942Y1l1 #cytometry#openscience
Version 1.0.6 is out now! This update brings improvements to customizing plot layouts and margins. It is now easy to create complex multiplot layouts in @CytoExploreR! Feature demo available at https://t.co/yvVO6ZSOob #cytometry#openscience
Time to bring Excel-like data editing features to CytoExploreR! Version 1.0.5 is out now. All data menus and editors have been updated to simplify the user experience and ease the transition from GUI-oriented software. #cytometry#openscience
CytoExploreR v1.0.4 is out now. A couple of bug fixes. A #docker image of CytoExploreR is now available! Now you can run CytoExploreR locally in a web browser without having to install anything! Gating is also now supported in the RStudio graphics device. #openscience#cytometry
Did you know that manual gating is fully supported in @CytoExloreR? All of your favourite gate types are supported, including rectangles, ellipses, polygons and quadrants. It has never been easier to draw gates around populations! #openscience#cytometry