awesome-single-cell VS scDblFinder

Compare awesome-single-cell vs scDblFinder and see what are their differences.

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awesome-single-cell scDblFinder
3 1
2,927 133
- -
5.2 6.7
about 2 months ago about 2 months ago
R
MIT License GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

awesome-single-cell

Posts with mentions or reviews of awesome-single-cell. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-21.

scDblFinder

Posts with mentions or reviews of scDblFinder. We have used some of these posts to build our list of alternatives and similar projects.
  • Are there any methods for doublet deconvolution?
    1 project | /r/bioinformatics | 10 May 2022
    The scDblFinder method identifies doublets by combining singlet profiles to generate artificial doublets, then finding the nearest neighbors to those artificial profiles. You could use this approach to deconvolve your doublets, inferring that the two cells in the actual observed doublet are of the same cell types as those used to generate the nearest artificial doublet profile.

What are some alternatives?

When comparing awesome-single-cell and scDblFinder you can also consider the following projects:

cellsnp-lite - Efficient genotyping bi-allelic SNPs on single cells

MultiQC - Aggregate results from bioinformatics analyses across many samples into a single report.

Baltica - Baltica: integrated differential junction usage

Awesome-Bioinformatics - A curated list of awesome Bioinformatics libraries and software.

DGE_workshop