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Code for computing pcs from extracted data to submit for modeling

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MoSeq2-PCA

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codecov

This is a library for computing PCA components and scores from extracted mouse movies. Use this to compute features for modeling.

Latest version is 0.4.0

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 MoSeq Slack Channel 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 [email protected], who will put you in touch with the appropriate people in the Harvard Technology Transfer office.

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Code for computing pcs from extracted data to submit for modeling

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