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Introduction:
Introduction
Getting started
Installation
Tutorial 1: Data handling
Tutorial 2: Pixel map integration
Tutorial 3: Scanpy and AnnData integration
Tutorial 4: Exploratory analysis
Tutorial 5: Statistical modeling
User guide:
The SpatialData object:
The PixelMap object
The SpatialStatistics object
Next Neighbor analysis and spatial contexts:
Integrating scanpy/Anndata
Modules:
plankton
plankton.py
Index
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Index
C
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D
|
G
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K
|
M
|
N
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P
|
R
|
S
|
U
C
co_cooccurrence() (in module plankton.stats)
co_occurrence() (in module plankton.stats)
D
distances (plankton.graph.SpatialGraph property)
G
get_histograms() (in module plankton.stats)
K
knn_entropy() (plankton.graph.SpatialGraph method)
M
map_and_umap() (plankton.graph.SpatialGraph method)
module
plankton
plankton.graph
plankton.stats
mor_normalize() (in module plankton.stats)
N
neighbor_types (plankton.graph.SpatialGraph property)
neighbors (plankton.graph.SpatialGraph property)
P
plankton
module
plankton.graph
module
plankton.stats
module
plot_entropy() (plankton.graph.SpatialGraph method)
plot_umap() (plankton.graph.SpatialGraph method)
R
ripleys_k() (in module plankton.stats)
run_umap() (plankton.graph.SpatialGraph method)
S
SpatialGraph (class in plankton.graph)
U
umap (plankton.graph.SpatialGraph property)
umap_0 (plankton.graph.SpatialGraph property)
umap_1 (plankton.graph.SpatialGraph property)
umap_js() (plankton.graph.SpatialGraph method)
update_knn() (plankton.graph.SpatialGraph method)