Index
A
|
B
|
C
|
D
|
E
|
F
|
G
|
H
|
K
|
L
|
M
|
N
|
P
|
R
|
S
|
T
|
V
A
analyse_data() (in module scvae.analyses)
analyse_intermediate_results() (in module scvae.analyses)
analyse_model() (in module scvae.analyses)
B
batch_correction (scvae.models.GaussianMixtureVariationalAutoencoder attribute)
(scvae.models.VariationalAutoencoder attribute)
batch_indices (scvae.data.DataSet attribute)
C
clear() (scvae.data.DataSet method)
D
data_format (scvae.data.DataSet attribute)
DataSet (class in scvae.data)
description() (scvae.models.GaussianMixtureVariationalAutoencoder property)
(scvae.models.VariationalAutoencoder property)
E
evaluate() (scvae.models.GaussianMixtureVariationalAutoencoder method)
(scvae.models.VariationalAutoencoder method)
example_filter_method (scvae.data.DataSet attribute)
example_filter_parameters (scvae.data.DataSet attribute)
example_names (scvae.data.DataSet attribute)
F
feature_names (scvae.data.DataSet attribute)
feature_selection_method (scvae.data.DataSet attribute)
feature_selection_parameters (scvae.data.DataSet attribute)
feature_size (scvae.models.GaussianMixtureVariationalAutoencoder attribute)
(scvae.models.VariationalAutoencoder attribute)
G
GaussianMixtureVariationalAutoencoder (class in scvae.models)
H
hidden_sizes (scvae.models.GaussianMixtureVariationalAutoencoder attribute)
(scvae.models.VariationalAutoencoder attribute)
K
kind (scvae.data.DataSet attribute)
L
labels (scvae.data.DataSet attribute)
latent_distribution (scvae.models.GaussianMixtureVariationalAutoencoder attribute)
(scvae.models.VariationalAutoencoder attribute)
latent_size (scvae.models.GaussianMixtureVariationalAutoencoder attribute)
(scvae.models.VariationalAutoencoder attribute)
load() (scvae.data.DataSet method)
M
minibatch_normalisation (scvae.models.GaussianMixtureVariationalAutoencoder attribute)
(scvae.models.VariationalAutoencoder attribute)
module
scvae.analyses
scvae.data
scvae.models
N
name (scvae.data.DataSet attribute)
name() (scvae.models.GaussianMixtureVariationalAutoencoder property)
(scvae.models.VariationalAutoencoder property)
number_of_batches (scvae.models.GaussianMixtureVariationalAutoencoder attribute)
(scvae.models.VariationalAutoencoder attribute)
number_of_classes (scvae.data.DataSet attribute)
number_of_examples (scvae.data.DataSet attribute)
number_of_features (scvae.data.DataSet attribute)
number_of_latent_clusters() (scvae.models.GaussianMixtureVariationalAutoencoder property)
number_of_reconstruction_classes (scvae.models.GaussianMixtureVariationalAutoencoder attribute)
(scvae.models.VariationalAutoencoder attribute)
number_of_values() (scvae.data.DataSet property)
number_of_warm_up_epochs (scvae.models.GaussianMixtureVariationalAutoencoder attribute)
(scvae.models.VariationalAutoencoder attribute)
P
parameters() (scvae.models.GaussianMixtureVariationalAutoencoder property)
(scvae.models.VariationalAutoencoder property)
prior_probabilities (scvae.models.GaussianMixtureVariationalAutoencoder attribute)
prior_probabilities_method (scvae.models.GaussianMixtureVariationalAutoencoder attribute)
R
reconstruction_distribution (scvae.models.GaussianMixtureVariationalAutoencoder attribute)
(scvae.models.VariationalAutoencoder attribute)
S
sample() (scvae.models.GaussianMixtureVariationalAutoencoder method)
(scvae.models.VariationalAutoencoder method)
scvae.analyses
module
scvae.data
module
scvae.models
module
specifications (scvae.data.DataSet attribute)
split() (scvae.data.DataSet method)
T
terms (scvae.data.DataSet attribute)
title (scvae.data.DataSet attribute)
train() (scvae.models.GaussianMixtureVariationalAutoencoder method)
(scvae.models.VariationalAutoencoder method)
V
values (scvae.data.DataSet attribute)
VariationalAutoencoder (class in scvae.models)
version (scvae.data.DataSet attribute)
scVAE
Single-cell variational auto-encoders
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