BUG FIXES
identify_neighborhoods()
.BUG FIXES
feature_colname
parameter to functions plot_cell_marker_levels()
and marker_intensity_boxplot()
.Development version on Bioconductor 3.20.
BUG FIXES
plot_cell_categories()
and added legend when layer=TRUE
NOTES
plot_cell_percentages()
now returns the plot.BUG FIXES
dimensionality_reduction_plot()
function.plot_cell_categories()
.Development version on Bioconductor 3.19.
SIGNIFICANT USER-VISIBLE CHANGES
margin_dist
for define_structure()
. Specifying the margin width with microns instead of layers of cells.BUG FIXES
plot_cell_categories()
plots when layered = TRUE
.calculate_spatial_autocorrelation()
.SIGNIFICANT USER-VISIBLE CHANGES
predict_phenotypes()
.NOTES
NOTES
Development version on Bioconductor 3.18.
BUG FIXES
SIGNIFICANT USER-VISIBLE CHANGES
identify_bordering_cells()
. Removed parameters n_of_polygons
and draw
.NOTES
BUG FIXES
identify_neighborhoods()
).BUG FIXES
All_cells_in_the_structure
in calculate_proportions_of_cells_in_structure()
was incorrect. Now fixed.SIGNIFICANT USER-VISIBLE CHANGES
BUG FIXES
identify_neighborhood()
.Development version on Bioconductor 3.17.
BUG FIXES
identify_neighborhoods()
:min_cluster_size
in each cluster;BUG FIXES
average_nearest_neighbor_index()
- the variable output
was
not defined when there is no reference cell found in the image.SIGNIFICANT USER-VISIBLE CHANGES
average_nearest_neighbor_index()
now returns the index along with the
pattern type and the p value.BUG FIXES
R_BC()
.identify_bordering_cells()
that causes error.SIGNIFICANT USER-VISIBLE CHANGES
mixing_score_summary()
ensures returning data in any situation. There will
be difference between returning NA
and 0
. See updated documentation.BUG FIXES
format_image_to_spe()
"general" format. Assigned rownames (markers)
and colnames (Cell IDs) to the assay of the formatted spe object.BUG FIXES
format_image_to_spe()
"general" format. The NA intensity value removal
was for markers. Instead, it should remove cells that have NA marker intensities.predict_phenotypes()
plot error.BUG FIXES
intensity_matrix
is NULL under "general"
option.SIGNIFICANT USER-VISIBLE CHANGES
identify_bordering_cells()
emit Warning when no bordering cells are detected.BUG FIXES
plot_marker_level_heatmap()
,
and plot_distance_heatmap()
.SIGNIFICANT USER-VISIBLE CHANGES
identify_bordering_cells()
- deleted "tumour" from the plot title;plot_cell_categories()
- cell categories changed to not contain "immune" when feature_colname == "Structure"
;calculate_distance_to_tumour_margin()
renamed to calculate_distance_to_margin()
;R_BT()
renamed to R_BC()
;calculate_summary_distances_of_cells_to_borders()
- one column in the returned data frame has name change;defined_strcture()
- parameter name_of_immune_cells
renamed to cell_types_of_interest
;identify_bordering_cells()
can return the number of clusters of the
specified cell type.BUG FIXES
AUC_of_cross_funcion()
.identify_neighborhood()
returns an SPE object instead of sending ERROR
when the cells of interest do no form any clusters.BUG FIXES
bind_info()
to avoid duplicated columns.BUG FIXES
dimensionality_reduction_plot()
to return error when the
cell count in an image is too low.SIGNIFICANT USER-VISIBLE CHANGES
perplexity
parameter to dimensionality_reduction_plot()
.plot_final_border
parameter to identify_bordering_cells()
.BUG FIXES
image_splitter()
returns NULL
for the sub-images that do not contain any
cells.calculate_spatial_autocorrelation()
identify_bordering_cells()
only plots the bordering cells when bordering
cells are detected and the user chooses to plot them.All_cells_in_the_structure
in calculate_proportions_of_cells_in_structure()
was incorrect. Now fixed.SIGNIFICANT USER-VISIBLE CHANGES
SingleCellExperiment
to SpatialExperiment
.format_image_to_spe()
using general
format is recommended.
For other data platforms, format_inform_to_spe()
, format_halo_to_spe()
, format_codex_to_spe()
, and format_cellprofiler_to_spe()
are also available.format_image_to_spe()
.image_splitter()
now returns a list of spe objects.Version submitted to Nature Communications. Access the release v0.99.0 here.
SIGNIFICANT USER-VISIBLE CHANGES
entropy_gradient_aggregated()
for calculating cell colocalisation.dimensionality_reduction_plot()
for visualisation and quality control.SIGNIFICANT USER-VISIBLE CHANGES
identify_bordering_cells()
).