latest
Tutorials:
Using CellHint for cell type harmonisation
Using CellHint for annotation-aware data integration
API (harmonisation):
Harmonisation function
Tree plot function
Sankey plot function
API (integration):
Integration function
API (others):
Self-match function
Package organization:
Harmonisation result
Distance structure
Tree structure
cellhint
Index
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Index
A
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B
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C
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D
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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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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
A
align() (cellhint.align.DistanceAlignment method)
aligned_datasets (cellhint.align.DistanceAlignment attribute)
(cellhint.align.DistanceAlignment property)
assign() (cellhint.distance.Distance method)
assignment (cellhint.distance.Distance attribute)
B
base_distance (cellhint.align.DistanceAlignment attribute)
best_align() (cellhint.align.DistanceAlignment method)
C
cell (cellhint.distance.Distance attribute)
cell_type (cellhint.distance.Distance attribute)
concatenate() (cellhint.distance.Distance method)
D
dataset_order (cellhint.align.DistanceAlignment attribute)
dist_mat (cellhint.distance.Distance attribute)
Distance (class in cellhint.distance)
DistanceAlignment (class in cellhint.align)
F
F_test() (cellhint.pct.PredictiveClusteringTree method)
filter_cells() (cellhint.distance.Distance method)
fit() (cellhint.pct.PredictiveClusteringTree method)
from_adata() (cellhint.distance.Distance static method)
G
groups (cellhint.align.DistanceAlignment attribute)
(cellhint.align.DistanceAlignment property)
H
harmonize() (in module cellhint)
I
integrate() (in module cellhint)
is_node() (cellhint.pct.PredictiveClusteringTree method)
L
load() (cellhint.align.DistanceAlignment static method)
M
maximum_novel_percent (cellhint.align.DistanceAlignment attribute)
minimum_divide_percent (cellhint.align.DistanceAlignment attribute)
minimum_divide_percents (cellhint.align.DistanceAlignment attribute)
minimum_unique_percent (cellhint.align.DistanceAlignment attribute)
minimum_unique_percents (cellhint.align.DistanceAlignment attribute)
multi_align() (cellhint.align.DistanceAlignment method)
N
n_cell (cellhint.distance.Distance attribute)
(cellhint.distance.Distance property)
n_cell_type (cellhint.distance.Distance attribute)
(cellhint.distance.Distance property)
n_features_in_ (cellhint.pct.PredictiveClusteringTree attribute)
n_outputs_ (cellhint.pct.PredictiveClusteringTree attribute)
normalize() (cellhint.distance.Distance method)
P
p_value (cellhint.pct.PredictiveClusteringTree attribute)
pairwise_align() (cellhint.align.DistanceAlignment method)
PredictiveClusteringTree (class in cellhint.pct)
prune_node() (cellhint.pct.PredictiveClusteringTree method)
prune_tree() (cellhint.pct.PredictiveClusteringTree method)
R
reannotate() (cellhint.align.DistanceAlignment method)
reannotation (cellhint.align.DistanceAlignment attribute)
relation (cellhint.align.DistanceAlignment attribute)
reorder_dataset() (cellhint.align.DistanceAlignment method)
row_normalize (cellhint.align.DistanceAlignment attribute)
S
sankeyplot() (in module cellhint)
score() (cellhint.pct.PredictiveClusteringTree method)
selfmatch() (in module cellhint)
set_fit_request() (cellhint.pct.PredictiveClusteringTree method)
set_predict_request() (cellhint.pct.PredictiveClusteringTree method)
set_score_request() (cellhint.pct.PredictiveClusteringTree method)
shape (cellhint.distance.Distance attribute)
(cellhint.distance.Distance property)
symmetric() (cellhint.distance.Distance method)
T
to_binary() (cellhint.distance.Distance method)
to_confusion() (cellhint.distance.Distance method)
to_meta() (cellhint.distance.Distance method)
to_multi_confusion() (cellhint.distance.Distance method)
to_pairwise_confusion() (cellhint.distance.Distance method)
tree_ (cellhint.pct.PredictiveClusteringTree attribute)
treeplot() (in module cellhint)
U
update() (cellhint.align.DistanceAlignment method)
W
write() (cellhint.align.DistanceAlignment method)
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