delnx.tl.NBFitResultΒΆ
- class delnx.tl.NBFitResult(beta, overdispersions, mu, size_factors, deviances, design_matrix, design_column_names, feature_names, layer=None, condition_key=None, ql_dispersions=None, df0_prior=0.0, dispersion_trend=None, converged=<factory>)[source]ΒΆ
Result container for nb_fit.
- betaΒΆ
Fitted coefficients, shape (n_genes, n_coefficients).
- Type:
np.ndarray
- overdispersionsΒΆ
MLE dispersion estimates per gene, shape (n_genes,).
- Type:
np.ndarray
- muΒΆ
Fitted mean values, shape (n_samples, n_genes).
- Type:
np.ndarray
- size_factorsΒΆ
Size factors per sample, shape (n_samples,).
- Type:
np.ndarray
- deviancesΒΆ
Deviance per gene, shape (n_genes,).
- Type:
np.ndarray
- design_matrixΒΆ
Design matrix used, shape (n_samples, n_coefficients).
- Type:
np.ndarray
- design_column_namesΒΆ
Column names for the design matrix (e.g., [βinterceptβ, βcondBβ]).
- feature_namesΒΆ
Feature/gene names.
- Type:
pd.Index
- ql_dispersionsΒΆ
Quasi-likelihood dispersions (if shrinkage applied).
- Type:
np.ndarray | None
- dispersion_trendΒΆ
Fitted dispersion trend.
- Type:
np.ndarray | None
- convergedΒΆ
Convergence status per gene.
- Type:
np.ndarray
Attributes tableΒΆ
Methods tableΒΆ
AttributesΒΆ
- NBFitResult.feature_names: IndexΒΆ