taxus
Gaussian Process models for transcriptome data
pip install taxus
import taxus as tx
# at the moment importing data has to be handled by the user
covariates, counts = get_mock_data()
gp = tx.GP('~ time + treatment', covariates, counts, kernel='rbf', likelihood='poisson')
elbo = gp.fit()
likelihood_ratio_rbf = tx.LRT(
full_formula='~ time + treatment',
reduced_formula='~ time',
covariates=covariates,
expression=counts,
kernel='rbf',
likelihood='nb'
)
likelihood_ratio_linear = tx.LRT(
full_formula='~ C(time) + C(treatment) + C(time) : C(treatment)',
reduced_formula='~ C(time) + C(treatment)',
covariates=covariates,
expression=counts,
kernel='linear',
likelihood='nb'
)
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Release files for taxus 0.0.4
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| taxus-0.0.4.tar.gz | 6.2 kB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| taxus-0.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 12.8 kB
Release files / taxus-0.0.4.tar.gz
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Release files / taxus-0.0.4-py3-none-any.whl
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| Size | 6.5 kB |
| Tags | Python 3 |
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