NOTES:
Installation
Cite
PACKAGE REFERENCE:
HELPpy package
EXAMPLES:
Example 1: Identification of context-specific EGs
Example 2: Identification of uncommon context-specific EGs
Example 3: Prediction of EGs for a tissue
Example 4: Extraction of network embedding from tissue PPI
Example 5: Reproduce the experiments reported in the HELP paper
HELPpy
Index
Index
C
|
D
|
E
|
F
|
H
|
I
|
K
|
L
|
M
|
P
|
R
|
S
|
V
C
cstr() (in module HELPpy.visualization.ui)
D
delrows_with_nan_percentage() (in module HELPpy.utility.selection)
E
EG_tissues_intersect() (in module HELPpy.utility.selection)
EG_tissues_intersect_dolabelling() (in module HELPpy.utility.selection)
F
feature_assemble() (in module HELPpy.preprocess.loaders)
feature_assemble_df() (in module HELPpy.preprocess.loaders)
filter_cellmap() (in module HELPpy.utility.selection)
filter_crispr_by_model() (in module HELPpy.utility.selection)
fit() (HELPpy.models.prediction.VotingSplitClassifier method)
H
Help_Dashboard (class in HELPpy.visualization.ui)
HELPpy
module
HELPpy.models
module
HELPpy.models.labelling
module
HELPpy.models.prediction
module
HELPpy.preprocess
module
HELPpy.preprocess.embedding
module
HELPpy.preprocess.imputer
module
HELPpy.preprocess.loaders
module
HELPpy.utility
module
HELPpy.utility.selection
module
HELPpy.visualization
module
HELPpy.visualization.plot
module
HELPpy.visualization.ui
module
I
imputer_knn() (in module HELPpy.preprocess.imputer)
imputer_knn_group() (in module HELPpy.preprocess.imputer)
imputer_mean() (in module HELPpy.preprocess.imputer)
K
k_fold_cv() (in module HELPpy.models.prediction)
L
labelling() (HELPpy.visualization.ui.Help_Dashboard method)
(in module HELPpy.models.labelling)
labelling_core() (in module HELPpy.models.labelling)
M
modemax_nan() (in module HELPpy.models.labelling)
module
HELPpy
HELPpy.models
HELPpy.models.labelling
HELPpy.models.prediction
HELPpy.preprocess
HELPpy.preprocess.embedding
HELPpy.preprocess.imputer
HELPpy.preprocess.loaders
HELPpy.utility
HELPpy.utility.selection
HELPpy.visualization
HELPpy.visualization.plot
HELPpy.visualization.ui
multi_threshold_with_nan_by_column() (in module HELPpy.models.labelling)
P
PPI_embed() (in module HELPpy.preprocess.embedding)
predict() (HELPpy.models.prediction.VotingSplitClassifier method)
predict_cv() (in module HELPpy.models.prediction)
predict_cv_sv() (in module HELPpy.models.prediction)
predict_proba() (HELPpy.models.prediction.VotingSplitClassifier method)
print_color() (in module HELPpy.visualization.ui)
process_features() (HELPpy.visualization.ui.Help_Dashboard method)
R
rows_with_all_nan() (in module HELPpy.models.labelling)
S
scale_to_essentials() (in module HELPpy.preprocess.loaders)
select_cell_lines() (HELPpy.visualization.ui.Help_Dashboard method)
(in module HELPpy.utility.selection)
set_score_request() (HELPpy.models.prediction.VotingSplitClassifier method)
set_seed() (in module HELPpy.models.prediction)
(in module HELPpy.utility.selection)
svenn_intesect() (in module HELPpy.visualization.plot)
V
VotingSplitClassifier (class in HELPpy.models.prediction)