single-cell-transcriptomics-app
too-many-cells
| single-cell-transcriptomics-app | too-many-cells | |
|---|---|---|
| 1 | - | |
| 0 | 100 | |
| - | - | |
| 3.1 | 4.5 | |
| 7 months ago | 5 months ago | |
| R | Haskell | |
| MIT License | GNU General Public License v3.0 only |
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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.
single-cell-transcriptomics-app
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A Shiny App to help in scRNA seq analysis
Link to GitHub repo
too-many-cells
We haven't tracked posts mentioning too-many-cells yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
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collapse-duplication - Process the output of heatitup in order to collapse sequences into clones by similar ITD mutations.
integreat - Integrate difference data sources and optionally perform differential integration.
normalize - normalize
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BiobaseEnsembl - Ensembl related functions and datastructures
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differential - Finds out whether an entity comes from different distributions (statuses).
pipes-ordered-zip
modularity - Find the modularity of a network.