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AAanalysis
Index
Edit on GitHub
Index
_
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A
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B
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C
|
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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L
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M
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N
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O
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P
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R
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S
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T
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U
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W
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Δ
_
__init__() (AAclust method)
(AAclustPlot method)
(AAlogo method)
(AAlogoPlot method)
(AAMut method)
(AAMutPlot method)
(AAWindowSampler method)
(AnnotationPreprocessor method)
(CPP method)
(CPPGrid method)
(CPPPlot method)
(dPULearn method)
(dPULearnPlot method)
(EmbeddingPreprocessor method)
(SeqMut method)
(SeqMutPlot method)
(SequenceFeature method)
(ShapModel method)
(StructurePreprocessor method)
(TreeModel method)
A
aa_comparison() (AAMutPlot method)
aaanalysis.py
module
AAclust (class in aaanalysis)
AAclustPlot (class in aaanalysis)
AAlogo (class in aaanalysis)
AAlogoPlot (class in aaanalysis)
AAMut (class in aaanalysis)
AAMutPlot (class in aaanalysis)
AAontology
AAWindowSampler (class in aaanalysis)
add_feat_impact() (ShapModel method)
add_feat_importance() (TreeModel method)
add_sample_mean_dif() (ShapModel static method)
AnnotationPreprocessor (class in aaanalysis)
B
build_cat() (AnnotationPreprocessor method)
(EmbeddingPreprocessor method)
(StructurePreprocessor method)
build_scales() (AnnotationPreprocessor method)
(EmbeddingPreprocessor method)
(StructurePreprocessor method)
C
centers() (AAclustPlot method)
centers_ (AAclust attribute)
combine_dict_nums (class in aaanalysis)
comp_auc_adjusted() (in module aaanalysis)
comp_bic_score() (in module aaanalysis)
comp_bootstrap_ci() (in module aaanalysis)
comp_centers() (AAclust static method)
comp_correlation() (AAclust static method)
comp_coverage() (AAclust static method)
comp_detection_metrics() (in module aaanalysis)
comp_kld() (in module aaanalysis)
comp_medoids() (AAclust static method)
comp_per_protein_ap() (in module aaanalysis)
comp_seq_sim (class in aaanalysis)
comp_smooth_scores() (in module aaanalysis)
compare_sets_negatives() (dPULearn static method)
compositional vs positional
correlation() (AAclustPlot method)
CPP
(class in aaanalysis)
CPPGrid (class in aaanalysis)
CPPPlot (class in aaanalysis)
D
design / engineering
determinant discovery
df_cat (CPP attribute)
df_feat
df_parts
(CPP attribute)
df_pu_ (dPULearn attribute)
df_scales (CPP attribute)
df_seq
dict_num
display_df() (in module aaanalysis)
domain level
dPULearn (class in aaanalysis)
dPULearnPlot (class in aaanalysis)
E
EmbeddingPreprocessor (class in aaanalysis)
encode() (AnnotationPreprocessor method)
(EmbeddingPreprocessor method)
encode_domains() (StructurePreprocessor method)
encode_dssp() (StructurePreprocessor method)
encode_integer() (SequencePreprocessor static method)
encode_one_hot() (SequencePreprocessor static method)
encode_pae() (StructurePreprocessor method)
encode_pdb() (StructurePreprocessor method)
entry
eval() (AAclust method)
(AAclustPlot static method)
(AAMut method)
(CPP method)
(CPPGrid method)
(CPPPlot static method)
(dPULearn static method)
(dPULearnPlot static method)
(SeqMut method)
(ShapModel method)
(TreeModel method)
exp_value (ShapModel attribute)
extend_alphabet() (NumericalFeature static method)
F
feat_importance (TreeModel attribute)
feat_importance_std (TreeModel attribute)
feature
feature impact
feature importance
feature pruning
feature selection
feature simplification
feature() (CPPPlot method)
feature_importances_ (TreeModel property)
feature_map() (CPPPlot method)
feature_matrix() (SequenceFeature method)
fetch_alphafold() (StructurePreprocessor method)
fetch_embeddings() (EmbeddingPreprocessor method)
fetch_uniprot() (AnnotationPreprocessor method)
filter_correlation() (NumericalFeature static method)
filter_coverage() (AAclust method)
filter_seq (class in aaanalysis)
fit() (AAclust method)
(dPULearn method)
(ShapModel method)
(TreeModel method)
G
get_aa_window() (SequencePreprocessor static method)
get_conservation() (AAlogo static method)
get_df_feat() (SequenceFeature method)
get_df_logo() (AAlogo method)
get_df_logo_info() (AAlogo method)
get_df_parts() (SequenceFeature method)
get_df_parts_from_windows() (SequenceFeature static method)
get_df_pos() (SequenceFeature static method)
get_domains() (StructurePreprocessor method)
get_dssp() (StructurePreprocessor method)
get_feature_descriptions() (SequenceFeature static method)
get_feature_names() (SequenceFeature static method)
get_feature_positions() (SequenceFeature static method)
get_features() (SequenceFeature method)
get_labels_ovo() (SequenceFeature static method)
get_labels_ovr() (SequenceFeature static method)
get_labels_quantile() (SequenceFeature static method)
get_labels_tiered() (SequenceFeature static method)
get_parts() (NumericalFeature static method)
get_seq_kws() (SequenceFeature method)
get_sliding_aa_window() (SequencePreprocessor static method)
get_split_kws() (SequenceFeature static method)
H
heatmap() (CPPPlot method)
I
ingest() (AnnotationPreprocessor method)
is_medoid_ (AAclust attribute)
is_selected_ (TreeModel attribute)
L
labels_ (AAclust attribute)
(dPULearn attribute)
labels_centers_ (AAclust attribute)
labels_medoids_ (AAclust attribute)
list_models_ (TreeModel attribute)
load_dataset (class in aaanalysis)
load_features (class in aaanalysis)
load_scales (class in aaanalysis)
M
medoid
medoid_ind_ (AAclust attribute)
medoid_names_ (AAclust attribute)
medoids() (AAclustPlot method)
medoids_ (AAclust attribute)
model (AAclust attribute)
module
aaanalysis.py
multi_logo() (AAlogoPlot method)
mutate() (SeqMut method)
mutation_landscape() (SeqMutPlot method)
N
n_clusters (AAclust attribute)
name_clusters() (AAclust static method)
norm_params_ (EmbeddingPreprocessor attribute)
numerical CPP
NumericalFeature (class in aaanalysis)
O
options (in module aaanalysis)
P
P1 anchor
part
pca() (dPULearnPlot static method)
Plot class
plot_gcfs() (in module aaanalysis)
plot_get_cdict() (in module aaanalysis)
plot_get_clist() (in module aaanalysis)
plot_get_cmap() (in module aaanalysis)
plot_legend() (in module aaanalysis)
plot_rank() (in module aaanalysis)
plot_settings() (in module aaanalysis)
pool_embeddings() (EmbeddingPreprocessor method)
predict_proba() (TreeModel method)
prediction level
profile() (CPPPlot method)
protein level
prune_by_correlation() (SequenceFeature method)
prune_by_variance() (SequenceFeature method)
pseudo-scale
PU labels
R
ranking() (CPPPlot method)
read_fasta (class in aaanalysis)
redundancy reduction
reference construction
reference group
reference window
register_feature() (AnnotationPreprocessor method)
relational / interaction
reliable negative
residue level
residue_mutation_impact() (SeqMutPlot method)
run() (AAMut method)
(CPP method)
(CPPGrid method)
run_num() (CPP method)
S
sample_benchmark_set() (AAWindowSampler method)
sample_different_protein() (AAWindowSampler method)
sample_motif_matched() (AAWindowSampler method)
sample_same_protein() (AAWindowSampler method)
sample_synthetic() (AAWindowSampler method)
scale
scale_ranking() (AAMutPlot method)
scan() (SeqMut method)
scan_motif (class in aaanalysis)
select_features() (TreeModel method)
select_proteins() (AAclust method)
select_scales() (AAclust method)
SeqMut (class in aaanalysis)
SeqMutPlot (class in aaanalysis)
SequenceFeature (class in aaanalysis)
SequencePreprocessor (class in aaanalysis)
shap_values (ShapModel attribute)
ShapModel (class in aaanalysis)
simplify() (CPP method)
single_logo() (AAlogoPlot method)
split
split_kws (CPP attribute)
StructurePreprocessor (class in aaanalysis)
substitution_matrix() (AAMutPlot method)
suggest() (SeqMut method)
T
test group
to_df_seq() (AnnotationPreprocessor method)
to_fasta (class in aaanalysis)
Tool
TreeModel (class in aaanalysis)
U
unit of comparison
update_seq_size() (CPPPlot method)
W
window
Wrapper
Δ
ΔCPP