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All functions

calc_centers()
Calculate centers of spots/samples for distance based analysis
calc_diff_pairwiseSamples()
Helper function for computing pairwise differences between sample values
calc_missingness()
Calculate degree of missingness for each featurea and sample
calc_spatial_diff_ex()
Identify differentially abundant features across image
convert_to_spe()
Create a SpatialExperiment object from data
distance_based_analysis()
Identify multiomic features correlated with an distance to an image feature
enrich_gradient()
Calculate functional or pathway enrichment from a gradient
enrich_ora()
Calculate functional or pathway enrichment
impute_spe()
Impute missing values based on spatial coordinates
oneKSoilsCoords
Soil sample coordinates for the sample information
oneKSoilsMeta
Soil samples from the 1000 soils project Row names indiciate KEGG Orthologs, Column names indicate locations Soil samples metadata for the sample information
pancMeta
Here is the data to be included in the spammR package
protMeta
Protein metadata for general uniprot data, including the pancProts column for the panc data
retrieve_metaspace_data()
Retrieve data objects from metaspace
smallPancData
Pancreatic proteomics measurements from Gosline et al. proteomics study. Row names indicate individual proteins, columns indicate sample identifiers described in pancMeta. Individual values show un-transformed abundance values for each protein. List of proteomic measurements in a list sorted from individual regions of the pancreas. A subset of the data at https://figshare.com/articles/dataset/spammR_Files/29250962
spat_reduce()
Reduce a high resolution image measurement (origin) to a lower resolution measurement (target)
spatial_heatmap()
Plot data in heatmap together with image
spatial_network()
Plot network of correlated features
split_spe()
Divide SPE object into smaller objects by column features
volcano_plot()
Create a volcano plot from differential expression data