R2platform datascience annals

  Quite frequently, you may want to provide a quick and easy to grasp plot that shows the expression of a couple of genes, segregated over a few groups. With single cell mRNA data, this also needs to take into account the fact that a gene if frequently not detected in all of the cells. Enter the bubble plot. This visualization will show the data much like a heatmap, where every sub-group is represented by a proportional circle. The dcolor here then reflects the average intensity value, while the circle size denotes a percentage of the cells that show expression. Within R2, we have also got this type of viaualization implemented, making it easy to use such insightful graphs with ease. How the circles are scaled can also be defined in different ways. You can look at this from the perspective of the total data set size, and represent the data as a percentage of all the cells. Alternatively, you can also represent the data as a percentage of the cells represented within a group. This later

 The R2 platform team tries its best to reach a diverse scientific audience via an array of channels. For one, we maintain this blog, with occasional stories and notifications on what keeps us busy ;) We also use social media applaications such as X (formerly known as Twitter), Facebook, Instagram, Threads, LinkedIn, where we keep our users and others interested up to date on new developments and the latest data sets.  Another channel by which we provide tutorials and documentation is via the readthedocs sites, where we maintain our storytelling manual that spans more than 260 pages. However all of these are text based, which is great in many cases, but does requires persistence from the reader. So in order to reach even more users, we have also created a YouTube channel ( https://www.youtube.com/@R2GenomicsPlatform/ ). On this channel, we provide video demonstrations of common functions within the R2 platform, where we take you through every step to obtain a result. There are already