Introduction
Getting Started
Data Processing
Processing in R
Processing in Python
MOGDx Deployment
Executing MOGDx
MOGDx Model Types
MOGDx
MOGDx & PNet
MOGDx Network Generation
MOGDx Free
Model Development
MOGDx Main Functions and Classes
Reference
Contact Details
Requirements
Project name not set
Index
Edit on GitHub
Index
A
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B
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C
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D
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E
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F
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G
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H
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I
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K
|
L
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M
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N
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P
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S
|
T
|
U
A
abs_bicorr() (in module preprocess_functions)
accuracy() (preprocess_functions.ElasticNet method)
AUROC() (in module train)
B
batch_norms (GNN_MME.GAT_MME attribute)
(GNN_MME.GCN_MME attribute)
(GNN_MME.GSage_MME attribute)
C
calculate_loss() (preprocess_functions.ElasticNet method)
check_wall_names() (in module preprocess_functions)
confusion_matrix() (in module train)
convert_dataframe_to_numpy() (in module preprocess_functions)
cosine_corr() (in module preprocess_functions)
create_similarity_matrix() (in module preprocess_functions)
custom_cpm() (in module preprocess_functions)
D
data_parsing() (in module utils)
data_preprocess() (in module preprocess_functions)
decoder (GNN_MME.Encoder attribute)
DESEQ() (in module preprocess_functions)
dominateset() (in module preprocess_functions)
drop (GNN_MME.Encoder attribute)
(GNN_MME.GAT_MME attribute)
(GNN_MME.GCN_MME attribute)
(GNN_MME.GSage_MME attribute)
E
elastic_net() (in module preprocess_functions)
ElasticNet (class in preprocess_functions)
embedding_extraction() (GNN_MME.GAT_MME method)
(GNN_MME.GCN_MME method)
(GNN_MME.GSage_MME method)
Encoder (class in GNN_MME)
encoder (GNN_MME.Encoder attribute)
encoder_dims (GNN_MME.GAT_MME attribute)
(GNN_MME.GCN_MME attribute)
(GNN_MME.GSage_MME attribute)
evaluate() (in module train)
F
feature_importance() (GNN_MME.GCN_MME method)
filter_genes() (in module preprocess_functions)
forward() (GNN_MME.Encoder method)
(GNN_MME.GAT_MME method)
(GNN_MME.GCN_MME method)
(GNN_MME.GSage_MME method)
(preprocess_functions.ElasticNet method)
G
GAT_MME (class in GNN_MME)
GCN_MME (class in GNN_MME)
gen_new_graph() (in module preprocess_functions)
get_gpu_memory() (in module utils)
get_k_neighbors() (in module preprocess_functions)
GNN_MME
module
gnnlayers (GNN_MME.GAT_MME attribute)
(GNN_MME.GCN_MME attribute)
(GNN_MME.GSage_MME attribute)
GSage_MME (class in GNN_MME)
H
hidden_feats (GNN_MME.GAT_MME attribute)
(GNN_MME.GCN_MME attribute)
(GNN_MME.GSage_MME attribute)
I
indices_removal_adjust() (in module utils)
inference() (GNN_MME.GAT_MME method)
(GNN_MME.GCN_MME method)
(GNN_MME.GSage_MME method)
init_weights() (in module utils)
input_dims (GNN_MME.GAT_MME attribute)
(GNN_MME.GCN_MME attribute)
(GNN_MME.GSage_MME attribute)
K
knn_graph_generation() (in module preprocess_functions)
L
layerwise_importance() (GNN_MME.GCN_MME method)
layerwise_infer() (in module train)
linear (preprocess_functions.ElasticNet attribute)
M
merge_dfs() (in module utils)
module
GNN_MME
preprocess_functions
train
utils
N
network_from_csv() (in module utils)
norm (GNN_MME.Encoder attribute)
normalize() (in module preprocess_functions)
num_classes (GNN_MME.GAT_MME attribute)
(GNN_MME.GCN_MME attribute)
(GNN_MME.GSage_MME attribute)
num_layers (GNN_MME.GAT_MME attribute)
(GNN_MME.GCN_MME attribute)
(GNN_MME.GSage_MME attribute)
P
pearson_corr() (in module preprocess_functions)
plot_knn_network() (in module preprocess_functions)
preprocess_functions
module
S
SNF() (in module preprocess_functions)
T
train
module
train() (in module train)
tsne_embedding_plot() (in module train)
U
utils
module