v1.1.0

• Feature extraction algorithm optimized.
• scaLR now supports multi-CPU execution, effectively reducing the time required for analysis. This enhancement significantly improves scalability, making it more efficient for large-scale scRNA-seq datasets.
• We have updated the README and tutorials to guide users on running scaLR efficiently. For large datasets, we provide instructions for running on a local VM, while for smaller datasets, we demonstrate execution on Google Colab.

v1.0.1

What's Changed

• updated README & docs by @amit-samal in #7
• Memory usage bug by @Saiyam26 in #12
• Delete .gitignore by @falaktheoptimist in #8
• workflows by @mayur-iipl in #10
• Optimised LMEM memory usage by @amit-samal in #13
• DGE test cases by @amit-samal in #11
• fix tag regex by @mayur-iipl in #15
• Root restructuring + Downstream Analysis on full & test samples by @Saiyam26 in #14

New Contributors

• @amit-samal made their first contribution in #7
• @falaktheoptimist made their first contribution in #8

Full Changelog: v1.0.0...v1.0.1

scaLR v1.0.0

First scaLR version.