conos
Clustering on Network of Samples
Wires together large collections of single-cell RNA-seq datasets, which allows for both the identification of recurrent cell clusters and the propagation of information between datasets in multi-sample or atlas-scale collections. 'Conos' focuses on the uniform mapping of homologous cell types across heterogeneous sample collections. For instance, users could investigate a collection of dozens of peripheral blood samples from cancer patients combined with dozens of controls, which perhaps includes samples of a related tissue such as lymph nodes. This package interacts with data available through the 'conosPanel' package, which is available in a 'drat' repository. To access this data package, see the instructions at https://github.com/kharchenkolab/conos. The size of the 'conosPanel' package is approximately 12 MB.
- Version1.5.2
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- Last release02/26/2024
Documentation
Team
Evan Biederstedt
Weiliang Qiu
Show author detailsRolesContributorPeter Kharchenko
Show author detailsRolesAuthorViktor Petukhov
Show author detailsRolesAuthorNikolas Barkas
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 466 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 7 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 6,891 times in the last 365 days. That's a lot of interest! Someone might even write a blog post about it. The day with the most downloads was Sep 11, 2024 with 59 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.
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Dependencies
- Depends2 packages
- Imports16 packages
- Suggests16 packages
- Linking To4 packages
- Reverse Suggests2 packages