Index

C

clustering() (multiDGD.DGD method) (multiDGD.latent.GaussianMixture method)

component_sample() (multiDGD.latent.GaussianMixture method) count_parameters() (in module multiDGD.functions) covariance (multiDGD.latent.GaussianMixture property)

D

data_to_tensor() (multiDGD.dataset.omicsDataset method) decode() (multiDGD.DGD method) Decoder (class in multiDGD.nn)

DGD (class in multiDGD) differential_expression() (multiDGD.DGD method) dispersion (multiDGD.nn.NB_Layer property)

F

forward() (multiDGD.latent.GaussianMixture method) (multiDGD.latent.GaussianMixtureSupervised method) (multiDGD.latent.RepresentationLayer method) (multiDGD.nn.Decoder method) (multiDGD.nn.NB_Layer method) (multiDGD.nn.OutputModule method)

forward_shap() (multiDGD.nn.OutputModule method)

G

GaussianMixture (class in multiDGD.latent) GaussianMixtureSupervised (class in multiDGD.latent) gene2peak() (multiDGD.DGD method) get_accessibility_estimates() (multiDGD.DGD method) get_correction_labels() (multiDGD.dataset.omicsDataset method) get_covariate_representation() (multiDGD.DGD method) get_figshare_file() (in module multiDGD.utils) (in module multiDGD.utils.model_loading)

get_labels() (multiDGD.dataset.omicsDataset method) get_latent_representation() (multiDGD.DGD method) get_mask() (multiDGD.dataset.omicsDataset method) get_modality_reconstruction() (multiDGD.DGD method) get_normalized_expression() (multiDGD.DGD method) get_prediction_errors() (multiDGD.DGD method) get_reconstruction() (multiDGD.DGD method) get_representation() (multiDGD.DGD method)

I

init_test_set() (multiDGD.DGD method)

is_trained() (multiDGD.DGD method)

L

label_mixture_probs() (multiDGD.latent.GaussianMixtureSupervised method) load() (multiDGD.DGD class method) log_prob() (multiDGD.latent.GaussianMixture method) (multiDGD.latent.GaussianMixtureSupervised method) (multiDGD.nn.Decoder method) (multiDGD.nn.NB_Layer method) (multiDGD.nn.OutputModule method)

loss() (multiDGD.nn.Decoder method) (multiDGD.nn.NB_Layer method) (multiDGD.nn.OutputModule method)

M

mixture_probs() (multiDGD.latent.GaussianMixture method) modality_mask (multiDGD.dataset.omicsDataset attribute) module multiDGD multiDGD.dataset multiDGD.functions multiDGD.latent multiDGD.nn multiDGD.utils multiDGD.utils.model_loading multiDGD module

multiDGD.dataset module multiDGD.functions module multiDGD.latent module multiDGD.nn module multiDGD.utils module multiDGD.utils.model_loading module

N

NB_Layer (class in multiDGD.nn)

norm_abs_error() (multiDGD.nn.NB_Layer method)

O

omicsDataset (class in multiDGD.dataset)

OutputModule (class in multiDGD.nn)

P

perturbation_experiment() (multiDGD.DGD method) plot_history() (multiDGD.DGD method) plot_latent_space() (multiDGD.DGD method)

predict() (multiDGD.DGD method) predict_from_representation() (multiDGD.DGD method) predict_new() (multiDGD.DGD method)

R

RepresentationLayer (class in multiDGD.latent)

rescale() (multiDGD.nn.NB_Layer static method)

S

sample() (multiDGD.latent.GaussianMixture method) sample_new_points() (multiDGD.latent.GaussianMixture method) sample_probs() (multiDGD.latent.GaussianMixture method) save() (multiDGD.DGD method)

sc_feature_selection() (in module multiDGD.functions) set_random_seed() (in module multiDGD.functions) setup_data() (in module multiDGD.functions) stddev (multiDGD.latent.GaussianMixture property) supervised_sampling() (multiDGD.latent.GaussianMixtureSupervised method)

T

test() (multiDGD.DGD method)

train() (multiDGD.DGD method)

V

view_data_setup() (multiDGD.DGD method)