scDblFinder
Methods for detecting doublets in single-cell sequencing data (by plger)
dance
DANCE: a deep learning library and benchmark platform for single-cell analysis (by OmicsML)
| scDblFinder | dance | |
|---|---|---|
| 1 | 1 | |
| 139 | 329 | |
| - | 1.8% | |
| 6.0 | 8.6 | |
| 14 days ago | 5 days ago | |
| R | Python | |
| GNU General Public License v3.0 only | BSD 2-clause "Simplified" License |
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.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
scDblFinder
Posts with mentions or reviews of scDblFinder.
We have used some of these posts to build our list of alternatives
and similar projects.
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Are there any methods for doublet deconvolution?
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.
dance
Posts with mentions or reviews of dance.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing scDblFinder and dance you can also consider the following projects:
awesome-single-cell - Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
Clairvoyante - Clairvoyante: a multi-task convolutional deep neural network for variant calling in Single Molecule Sequencing
mlgauge - A simple library to benchmark the performance of machine learning methods across different datasets.
haiku-geometric - A collection of graph neural networks implementations in JAX
mokapot - Fast and flexible semi-supervised learning for peptide detection in Python
alfie - A neural network for alignment-free, kingdom-level classification of eDNA