v1.0: Predicting missing cell-types from deconvolution reference using residual.

First release of source code for publication named Missing cell types in single-cell references impact deconvolution of bulk data but are detectable. Preprint available here: https://www.biorxiv.org/content/10.1101/2024.04.25.590992v1.

What's Changed

• Work in progress commit of 2 scripts with same content (diff data), preprocessing file, and 2 scripts with functions. by @ivichadriana in #1
• Reopening the same changes from PR #2 to make repository public. by @ivichadriana in #3
• data information table missing from repo by @ivichadriana in #4
• capitalizing cell type names during assignment by @ivichadriana in #5
• changed plot color scheme, added gene ontology analysis results and plots, capitalized cell types, added license by @ivichadriana in #6
• removing statistical analysis on residual plots with all genes by @ivichadriana in #7
• Rerun NBs with larger plots, added new environment file., added function descriptions by @ivichadriana in #8
• Adding detection notebook for eval metrics and EXP5_eval for adding new cell type to reference of decov. cancer data by @ivichadriana in #9

New Contributors

• @ivichadriana made their first contribution in #1

Full Changelog: https://github.com/greenelab/pred_missing_celltypes/commits/v1.0