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MoSeq2-PCA
This is a library for computing PCA components and scores from extracted mouse movies. Use this to compute features for modeling.
Installation
moseq2-pca is one package of the MoSeq2 pipeline. Install the whole pipeline:
python -m pip install moseq2-app
You need Python 3.10 or newer on your system. The installation guide carries the whole procedure, including the notebooks.
To install this package on its own: python -m pip install moseq2-pca.
Documentation: MoSeq2 Wiki
You can find more information about MoSeq Pipeline, installation, step-by-step instructions, documentation for Command Line Interface(CLI), tutorials etc in MoSeq2 Wiki.
You can run moseq2-pca --version to check the current version and moseq2-pca --help to see all the commands.
Usage: moseq2-pca [OPTIONS] COMMAND [ARGS]...
Options:
--version Show the version and exit. [default: False]
--help Show this message and exit. [default: False]
Commands:
apply-pca Computes PCA Scores of extraction data given a...
clip-scores Clips specified number of frames from PCA scores at...
compute-changepoints Computes the Model-Free Syllable Changepoints based...
train-pca Trains PCA on all extracted results (h5 files) in...
Community Support and Contributing
- Please join
to post questions and interactive with MoSeq developers and users.
- If you encounter bugs, errors or issues, please submit a Bug report here. We encourage you to check out the troubleshooting and tips section and search your issues in the existing issues first.
- If you want to see certain features in MoSeq or you have new ideas, please submit a Feature request here.
- If you want to contribute to our codebases, please check out our Developer Guidelines.
- Please tell us what you think by filling out this user survey.
License
MoSeq is freely available for academic use under a license provided by Harvard University. Please refer to the license file for details. If you are interested in using MoSeq for commercial purposes please contact Bob Datta directly at srdatta@hms.harvard.edu, who will put you in touch with the appropriate people in the Harvard Technology Transfer office.
Metadata
Release files for moseq2-pca 1.4.4
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| moseq2_pca-1.4.4.tar.gz | 30.6 kB | With provenance | Details for moseq2_pca-1.4.4.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| moseq2_pca-1.4.4-py3-none-any.whl | Python 3 | none | any | Details for moseq2_pca-1.4.4-py3-none-any.whl |
Total release size: 64.9 kB
Release files / moseq2_pca-1.4.4.tar.gz
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| Download URL | moseq2_pca-1.4.4.tar.gz |
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| Size | 34.2 kB |
| Tags | Python 3 |
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- Added 1.4.4 github.com/dattalab/moseq2-app
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