Index A | B | C | D | F | G | H | L | M | N | O | P | Q | R | S | T | V A auroc() (in module delnx.tl) B beta (delnx.tl.NBFitResult attribute), [1] build_design() (in module delnx.tl) C condition_key (delnx.tl.NBFitResult attribute), [1] converged (delnx.tl.NBFitResult attribute), [1] D de() (in module delnx.tl) delnx.models module delnx.pl module delnx.pp module delnx.tl module design_column_names (delnx.tl.NBFitResult attribute), [1] design_matrix (delnx.tl.NBFitResult attribute), [1] deviances (delnx.tl.NBFitResult attribute), [1] df0_prior (delnx.tl.NBFitResult attribute), [1] dispersion (delnx.models.NegativeBinomialRegression attribute) dispersion_range (delnx.models.NegativeBinomialRegression attribute) dispersion_trend (delnx.tl.NBFitResult attribute), [1] dotplot() (in module delnx.pl) F feature_names (delnx.tl.NBFitResult attribute), [1] fit() (delnx.models.LinearRegression method) (delnx.models.LogisticRegression method) (delnx.models.NegativeBinomialRegression method) G get_llf() (delnx.models.LinearRegression method) (delnx.models.LogisticRegression method) (delnx.models.NegativeBinomialRegression method) grouped() (in module delnx.tl) gsea() (in module delnx.tl) H heatmap() (in module delnx.pl) L layer (delnx.tl.NBFitResult attribute), [1] LinearRegression (class in delnx.models) log2fc() (in module delnx.tl) LogisticRegression (class in delnx.models) M matrixplot() (in module delnx.pl) maxiter (delnx.models.LinearRegression attribute) (delnx.models.LogisticRegression attribute) (delnx.models.NegativeBinomialRegression attribute) module delnx.models delnx.pl delnx.pp delnx.tl mu (delnx.tl.NBFitResult attribute), [1] N nb_de() (in module delnx.tl) nb_fit() (in module delnx.tl) nb_test() (in module delnx.tl) NBFitResult (class in delnx.tl) NegativeBinomialRegression (class in delnx.models) O optimizer (delnx.models.LinearRegression attribute) (delnx.models.LogisticRegression attribute) (delnx.models.NegativeBinomialRegression attribute) overdispersions (delnx.tl.NBFitResult attribute), [1] P predict() (delnx.models.LinearRegression method) (delnx.models.LogisticRegression method) (delnx.models.NegativeBinomialRegression method) pseudobulk() (in module delnx.pp) Q ql_dispersions (delnx.tl.NBFitResult attribute), [1] R rank_de() (in module delnx.tl) S size_factors (delnx.tl.NBFitResult attribute), [1] size_factors() (in module delnx.pp) skip_stats (delnx.models.LinearRegression attribute) (delnx.models.LogisticRegression attribute) (delnx.models.NegativeBinomialRegression attribute) T tol (delnx.models.LinearRegression attribute) (delnx.models.LogisticRegression attribute) (delnx.models.NegativeBinomialRegression attribute) V violinplot() (in module delnx.pl) volcanoplot() (in module delnx.pl)