sccore
Core Utilities for Single-Cell RNA-Seq
Core utilities for single-cell RNA-seq data analysis. Contained within are utility functions for working with differential expression (DE) matrices and count matrices, a collection of functions for manipulating and plotting data via 'ggplot2', and functions to work with cell graphs and cell embeddings. Graph-based methods include embedding kNN cell graphs into a UMAP doi:10.21105/joss.00861, collapsing vertices of each cluster in the graph, and propagating graph labels.
- Version1.0.5
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- Last release02/23/2024
Documentation
Team
Evan Biederstedt
Rasmus Rydbirk
Show author detailsRolesAuthorPeter Kharchenko
Show author detailsRolesAuthorViktor Petukhov
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 1,573 times in the last 30 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 72 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 20,520 times in the last 365 days. That's enough downloads to make it mildly famous in niche technical communities. A badge of honor! The day with the most downloads was Oct 30, 2024 with 134 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports15 packages
- Suggests4 packages
- Linking To4 packages
- Reverse Imports5 packages