df <- data.frame(
BiocVersion = "3.15",
Genome = NA,
SourceType = "TXT",
SourceVersion = NA,
Coordinate_1_based = NA,
DataProvider = NA, # Add info in help file /Vignette
RDataClass = "SpatialExperiment",
DispatchClass = "Rds",
Maintainer = "Julia Wrobel <julia.wrobel@cuanschutz.edu>",
stringsAsFactors = FALSE
)
# subdirectory specific to current Bioc version
dir <- file.path("VectraPolarisData", df$BiocVersion)
dfs <- list(
data.frame(
Title = "HumanLungCancerV3",
Species = "Homo sapiens",
RDataPath = file.path(dir, "spe_lung.rds"),
SourceUrl = "http://www.doi.org/10.1101/2021.02.24.432729",
Description = paste(
"Vectra 3 multiplex immunohistochemistry (mIHC) dataset",
"of non-small cell lung cancer tissue with",
"1,604,786 cells from 761 total images from 153 patients") ## fill in these details
),
data.frame(
Title = "HumanOvarianCancerVP",
Species = "Homo sapiens",
RDataPath = file.path(dir, "spe_ovarian.rds"),
SourceUrl = "http://www.doi.org/10.1158/1541-7786.mcr-21-0411",
Description = paste(
"Vectra Polaris multiplex immunohistochemistry (mIHC) dataset",
"from a tumor microarray of cancerous ovarian tissue with",
"1,610,431 cells from 132 total images from 132 patients") ## fill in these details
)
)
dfs <- lapply(dfs, cbind, df)
df <- do.call(rbind, dfs)
tax_ids <- c(
"Homo sapiens" = "9606")
df$TaxonomyId <- tax_ids[df$Species]
fnm <- "inst/extdata/metadata.csv"
write.csv(df, fnm, row.names = FALSE)
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