UCell and pyUCell: single-cell gene signature scoring for R and python.

Key Points

• This research aims to develop tools for scoring gene signatures in single-cell contexts, using R and Python.
• Developed UCell and pyUCell for gene signature scoring
• Implemented algorithms for single-cell data analysis
• Utilized bioinformatics approaches for data interpretation
• Enhanced accuracy in scoring gene signatures
• Showed improvements in analyzing single-cell datasets
• Provided user-friendly tools for researchers in R and Python