meta <- data.frame(
Title = "Processed harmonized TCGA data of five cancer types for patient clustering",
Description = paste0("Pre-computed affinity matrices ",
"of 2582 patients from nine TCGA projects ",
"using gene expression, miRNA expression, ",
"and DNA methylation data"),
BiocVersion = "3.6",
Genome = "GRCh38",
SourceType = "TXT, TSV",
SourceUrl = "https://portal.gdc.cancer.gov/repository",
SourceVersion = "June 29 2017",
Species = "Homo sapiens",
TaxonomyId = 9606,
Coordinate_1_based = TRUE,
DataProvider = "Harmonized Cancer Datasets Genomic Data Commons Data Portal",
Maintainer = "Tianle Ma <tianlema@buffalo.edu>",
RDataClass = "List",
DispatchClass = "Rda",
ResourceName = "Wall.rda",
RDataPath = "HarmonizedTCGAData/Wall.rda"
)
meta <- rbind(meta, data.frame(
Title = "TCGA project IDs for 14551 cases",
Description = paste0("Map case ID to project ID",
" (each project ID correspond to a
disease type)"),
BiocVersion = "3.6",
Genome = "GRCh38",
SourceType = "JSON",
SourceUrl = "https://portal.gdc.cancer.gov/repository?searchTableTab=cases",
SourceVersion = "June 29 2017",
Species = "Homo sapiens",
TaxonomyId = 9606,
Coordinate_1_based = TRUE,
DataProvider = "Harmonized Cancer Datasets Genomic Data Commons Data Portal",
Maintainer = "Tianle Ma <tianlema@buffalo.edu>",
RDataClass = "Character",
DispatchClass = "Rda",
ResourceName = "project_ids.rda",
RDataPath = "HarmonizedTCGAData/project_ids.rda"
))
meta <- rbind(meta, data.frame(
Title = "Survival Data for 12899 TCGA Cases",
Description = paste0("Data used for overall survival plot ",
"of 12899 TCGA cases"),
BiocVersion = "3.6",
Genome = "GRCh38",
SourceType = "JSON",
SourceUrl = "https://portal.gdc.cancer.gov/exploration?searchTableTab=genes",
SourceVersion = "June 29 2017",
Species = "Homo sapiens",
TaxonomyId = 9606,
Coordinate_1_based = TRUE,
DataProvider = "Harmonized Cancer Datasets Genomic Data Commons Data Portal",
Maintainer = "Tianle Ma <tianlema@buffalo.edu>",
RDataClass = "data.frame",
DispatchClass = "Rda",
ResourceName = "surv.plot.rda",
RDataPath = "HarmonizedTCGAData/surv.plot.rda"
))
## Not run:
## Write the data out and put in the inst/extdata directory.
write.csv(meta, file="inst/extdata/metadata.csv", row.names=FALSE)
## Test the validity of metadata.csv with readMetadataCsv():
library(AnnotationHubData)
readMetadataFromCsv("D:/github/HarmonizedTCGAData")
## End(Not run)
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