Merge pull request #42 from earmingol/new_version

Quick rename of "moving windows" into "sliding windows"

README.md

@@ -75,6 +75,7 @@ Quickstart and extended tutorials are available for [using Tensor-cell2cell in c
 
 These tutorials include the use of multiple LR-based tools running on LIANA, different databases of ligand-receptor interactions,
 downstream analyses, and the use of spatial transcriptomics.
+
 ---
 ## Common issues
 - When running Tensor-cell2cell (```InteractionTensor.compute_tensor_factorization()``` or ```InteractionTensor.elbow_rank_selection()```), a common error is

cell2cell/__init__.py

@@ -13,4 +13,4 @@
 from cell2cell import tensor
 from cell2cell import utils
 
-__version__ = "0.7.0"
+__version__ = "0.7.1"

cell2cell/spatial/__init__.py

@@ -1,3 +1,3 @@
 from cell2cell.spatial.distances import (celltype_pair_distance, pairwise_celltype_distances)
 from cell2cell.spatial.filtering import (dist_filter_liana, dist_filter_tensor)
-from cell2cell.spatial.neighborhoods import (create_spatial_grid, create_moving_windows, calculate_window_size, add_moving_window_info_to_adata)
+from cell2cell.spatial.neighborhoods import (create_spatial_grid, create_sliding_windows, calculate_window_size, add_sliding_window_info_to_adata)

cell2cell/spatial/neighborhoods.py

@@ -91,7 +91,7 @@ def calculate_window_size(adata, num_windows):
     return window_size
 
 
-def create_moving_windows(adata, window_size, stride):
+def create_sliding_windows(adata, window_size, stride):
     """
     Maps windows to the cells they contain based on spatial transcriptomics data.
     Returns a dictionary where keys are window identifiers and values are sets of cell indices.
@@ -145,7 +145,7 @@ def find_windows(coord, window_edges):
     return window_mapping
 
 
-def add_moving_window_info_to_adata(adata, window_mapping):
+def add_sliding_window_info_to_adata(adata, window_mapping):
     """
     Adds window information to the AnnData object's .obs DataFrame. Each window is represented
     as a column, and cells/spots belonging to a window are marked with a 1.0, while others are marked

docs/index.md

@@ -75,6 +75,7 @@ Quickstart and extended tutorials are available for [using Tensor-cell2cell in c
 
 These tutorials include the use of multiple LR-based tools running on LIANA, different databases of ligand-receptor interactions,
 downstream analyses, and the use of spatial transcriptomics.
+
 ---
 ## Common issues
 - When running Tensor-cell2cell (```InteractionTensor.compute_tensor_factorization()``` or ```InteractionTensor.elbow_rank_selection()```), a common error is

release/0.7.1-notes.md

@@ -0,0 +1,12 @@
+# Release Notes - cell2cell v0.7.1
+
+## New features
+- Refer to [v0.7.0 notes](./0.7.0-notes.md) to see the new features. This is a quick fix of that version.
+
+## Feature updates
+- Renamed `cell2cell.spatial.neighborhoods.create_moving_windows()` and 
+    and `cell2cell.spatial.neighborhoods.add_moving_window_info_to_adata()` into
+  `cell2cell.spatial.neighborhoods.create_sliding_windows()` and 
+    and `cell2cell.spatial.neighborhoods.add_sliding_window_info_to_adata()` respectively.
+
+## Fixed Bugs