################################################################################
# Script to create SpatialExperiment object of the Merscope human ovarian cancer
# patient 1 slice 2.
# Yixing Dong, updated Mar 2024
################################################################################
# references:
# Merscope `_cell_by_gene.csv` and `_cell_metadata.csv` file were downloaded from
# \url{https://console.cloud.google.com/storage/browser/vz-ffpe-showcase/HumanOvarianCancerPatient2Slice1;tab=objects?prefix=&forceOnObjectsSortingFiltering=false}
# in this script we download the merscope data and reshape it into a
# SpatialExperiment object
# First, we need to install the `SpatialExperimentIO` loader package that would
# return Xenium as a `SpatialExperiment` object:
# install.packages("devtools")
# devtools::install_github("estellad/SpatialExperimentIO")
# or with the version of the package on Bioconductor:
# if (!requireNamespace("BiocManager", quietly=TRUE))
# install.packages("BiocManager")
# BiocManager::install("SpatialExperimentIO", version = "devel")
library(SpatialExperiment)
library(SpatialExperimentIO)
# -------------
# Download data
# -------------
# Put the downloaded unzipped file into a folder. Make sure that two mandatory
# files do exist.
mer_lung_p2s1_path <- here::here("raw_data/mer_patient1slice2")
mer_folder <- list.files(mer_lung_p2s1_path, pattern = ".csv")
mer_folder
# ------------------------
# Create SpatialExperiment
# ------------------------
mer_spe <- readMerscopeSXE(mer_lung_p2s1_path, return_type = "SPE")
mer_spe
# ------------------
# Saving data object
# ------------------
# We save the data to file for upload to `r Biocpkg("ExperimentHub")`.
repath <- here::here(file.path("raw_rds", "MERSCOPE_ovarianCancer"))
dir.create(repath, showWarnings=FALSE, recursive=TRUE)
saveRDS(mer_spe, file=file.path(here::here(repath, "MERSCOPE_ovarianCancer.rds")))
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