get_dataset_expression_for_genes: Retrieve the expression data matrix of a set of datasets and...

View source: R/allEndpoints.R

get_dataset_expression_for_genesR Documentation

Retrieve the expression data matrix of a set of datasets and genes

Description

Retrieve the expression data matrix of a set of datasets and genes

Usage

get_dataset_expression_for_genes(
  datasets,
  genes,
  keepNonSpecific = FALSE,
  consolidate = NA_character_,
  raw = getOption("gemma.raw", FALSE),
  memoised = getOption("gemma.memoised", FALSE),
  file = getOption("gemma.file", NA_character_),
  overwrite = getOption("gemma.overwrite", FALSE)
)

Arguments

datasets

A vector of dataset IDs or short names

genes

A vector of NCBI IDs, Ensembl IDs or gene symbols.

keepNonSpecific

logical. FALSE by default. If TRUE, results from probesets that are not specific to the gene will also be returned.

consolidate

An option for gene expression level consolidation. If empty, will return every probe for the genes. "pickmax" to pick the probe with the highest expression, "pickvar" to pick the prove with the highest variance and "average" for returning the average expression

raw

TRUE to receive results as-is from Gemma, or FALSE to enable parsing. Raw results usually contain additional fields and flags that are omitted in the parsed results.

memoised

Whether or not to save to cache for future calls with the same inputs and use the result saved in cache if a result is already saved. Doing options(gemma.memoised = TRUE) will ensure that the cache is always used. Use forget_gemma_memoised to clear the cache.

file

The name of a file to save the results to, or NULL to not write results to a file. If raw == TRUE, the output will be the raw endpoint from the API, likely a JSON or a gzip file. Otherwise, it will be a RDS file.

overwrite

Whether or not to overwrite if a file exists at the specified filename.

Value

A list of data frames

Examples

get_dataset_expression_for_genes("GSE2018", genes = c(10225, 2841))

jsicherman/Gemma-API documentation built on Oct. 25, 2024, 5:18 p.m.