scCODA
danbooru-tags
| scCODA | danbooru-tags | |
|---|---|---|
| 1 | 1 | |
| 134 | 5 | |
| 3.7% | - | |
| 2.2 | 4.1 | |
| about 1 year ago | 11 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| BSD 3-clause "New" or "Revised" License | MIT License |
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scCODA
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Are there any tools to measure changes in cell abundance between two conditions on single cell RNA seq data?
Hope it works for you! scCODA is another tool that does a similar compositions analysis
danbooru-tags
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An Analysis Of Danbooru Tags and Metadata
Most of the time was spent writing code to transform the raw data so that it could be easily processed in Python. The source code for this project is in this repository.
What are some alternatives?
popscle - A suite of population scale analysis tools for single-cell genomics data including implementation of Demuxlet / Freemuxlet methods and auxilary tools
imgbrd-grabber - Very customizable imageboard/booru downloader with powerful filenaming features.
miloR - R package implementation of Milo for testing for differential abundance in KNN graphs
DeepDanbooru - AI based multi-label girl image classification system, implemented by using TensorFlow.
datadoubleconfirm - Simple datasets and notebooks for data visualization, statistical analysis and modelling - with write-ups here: http://projectosyo.wix.com/datadoubleconfirm.
Network-Intrusion-Detection-Using-Machine-Learning - A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach