# Copy number genotyping jointly from scRNA and scATAC sequencing
A set of Pyro models and functions to infer CNA from scRNA-seq and scATAC-seq data. It comes with a companion [R package](https://github.com/caravagnalab/rcongas) that works as an interface and provides preprocessing, simulation and visualization routines.
Currently providing:
A mixture model on segments where CNV are modelled as Categorical random variable (LatentCategorical)
<!–Coming soon: - A linear model in the emission that can account for known covariates - The equivalent of MixtureGaussian but with CNVs as Categorical random variable - A model on genes (all the other models assume a division in segments) –> To install:
$ pip install congas
<!– To run a simple analysis on the example data
`python import congas as cn from congas.models import MixtureGaussian data_dict = cn.simulation_data params, loss = cn.run_analysis(data_dict,MixtureGaussian, steps=200, lr=0.05) `
[Full Documentation](https://annealpyro.readthedocs.io/en/latest/) –>
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Release files for congas 0.0.78
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Source distribution (sdist)
| File | Size | Uploaded | |
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| congas-0.0.78.tar.gz | 78.2 kB | Details |
Release files / congas-0.0.78.tar.gz
| Download URL | congas-0.0.78.tar.gz |
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| Size | 78.2 kB |
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