| Name | categorical-mix JSON |
| Version |
0.2.0.0
JSON |
| download |
| home_page | None |
| Summary | A package for fitting simple categorical mixture models to sequence data |
| upload_time | 2024-06-10 20:12:28 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.7 |
| license | MIT License Copyright (c) 2023 Jonathan Parkinson Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
| keywords |
categorical mixture
mixture model
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# categorical_mix
Fast, scalable clustering for fixed length sequences with a simple generative model.
This package is a fairly special-purpose tool designed for fitting multiple sequence alignments
of protein or DNA sequences to a categorical mixture model. (It's possible you could use
this for other tasks, although that's a possibility we've never investigated.) This is a *very*
simple model but for precisely this reason it can sometimes be quite useful -- it's fully
human-interpretable, easy to visualize and can fit a few million sequences very quickly. It's
designed to fit datasets too large to fit in memory.
This package is primarily used by [AntPack](https://github.com/jlparkI/AntPack), which uses it to score
antibody sequences for human-likeness and for other tasks. If you are interested in using it for
some other task, for installation and usage, see [the docs](https://categorical-mix.readthedocs.io/en/latest/).
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