alexQiSong / scSTEM

Single cell STEM (scSTEM) is a shiny app based R package for visualizing and clustering genes in pseudotime ordered single cell RNA-seq data. scSTEM is a GUI based tool and thus does not require any coding experience.
18 stars 2 forks source link

Review of scSTEM repo #2

Open marouenbg opened 2 years ago

marouenbg commented 2 years ago

Overall, it is very easy to install scSTEM using the first option and run it, it is very accessible. I have a few minor comments:

Fantastic tool overall!

alexQiSong commented 2 years ago

Thanks for the comments, very helpful!

marouenbg commented 2 years ago

For the second round, I suggest the following:

Great job developing this phenomenal tool @alexQiSong !

alexQiSong commented 2 years ago

Thanks for the comments! Sorry to get back to this a bit late.

Thank you, Alex

(Alex) Qi Song, Ph.D. Postdoctoral Associate Computational Biology Department School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213

On Mon, Nov 1, 2021 at 8:45 PM Marouen @.***> wrote:

For the second round, I suggest the following:

  • add releases to STEM, you can use GitHub release to add a microversion everytime you push new code/bug fix. For example, when the new GUI, this can be SCSTEM 0.1.1
  • In README install_folder = "/home/alex/scstem/" renv::restore(project = install_folder, lockfile = paste0(install_folder,"renv.lock"), prompt = F)
  • In README add a section on how to update scTEM if a new release is developed. That would be through 1- devtools::install_github("alexQiSong/scSTEM", upgrade = "always") then 2-restart Rstudio.
  • In GUI, the infer trajectory button could use a more expressive icon than a folder, I am not sure how shiny works, but if this is possible you can use icons from https://fontawesome.com/

Great job developing this phenomenal tool @alexQiSong https://github.com/alexQiSong !

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