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weighted in plotCCIspatial(). The ligand contribution of each
sender cell type at a hotspot is now the spatially weighted sum over its neighbours.weighted in runCCI(). The global ligand count of each
sender group is now the sum over hotspots of the local weighted ligand counts
used by plotCCIspatial().blisaPathway() for summarizing blisa results at the pathway levellevel to the blisa object class, specifying whether
the results are lr level or pathway levelplotLRrank() and plotHotspots() not works for pathway level resultsplatform in blisa to handle xenium and visiumas_points in plotHotspots() to plot dots instead of hexagonssize in plotHotspots() to change the size of the dotsbackground in plotHotspots() to add background image (e.g., H&E)blisa() now uses the fastLISA C/OpenMP backend by default (fast = TRUE)
for the bivariate local Moran's I computation. fastLISA moved from Suggests
to Imports. Results are statistically equivalent to the previous
spdep::localmoran_bv backend but not bit-identical (different RNG).min_total_counts argument to blisa() and hexBinCells() drops bins
whose total counts (summed over all genes) fall below the threshold during
binning. Default 10.verbose argument (default FALSE) to blisa() and hexBinCells()
gates progress messages; blisa() also shows a progress bar over the
ligand-receptor pairs in interactive sessions.lr_pairs argument to plotCCI() selects specific ligand-receptor pairs
to display, overriding top_lr.main argument to plotCCI(), plotCCILR(), and plotCCIsummary()
adds a title above the heatmap.LR_results row names are now informative IDs built from the ligand/receptor
symbols, with subunits joined by | and the two sides by _
(e.g. TGFB1_TGFBR2|TGFBR1). The original CellChatDB interaction_name is
retained in a new interaction_name column.plotCCIspatial() now handles multi-subunit ligand/receptor complexes
(previously errored with subscript out of bounds).plotHotspots(), plotCCIspatial(), and plotCCILR() now match the
ligand/receptor arguments by subunit set, independent of order, separator
(,, _, |), and whitespace.fast = TRUE option to blisa() which uses fastLISA::local_moran_bv
(C/OpenMP backend) instead of spdep::localmoran_bv for the bivariate local
Moran's I computation. Default behaviour unchanged.cpu_threads argument controlling parallelism when fast = TRUE.Any scripts or data that you put into this service are public.
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