get_result_sets: Retrieve all result sets matching the provided criteria

In PavlidisLab/Gemma-API: A wrapper for Gemma's Restful API to access curated gene expression data and differential expression analyses

Retrieve all result sets matching the provided criteria

Description

Returns queried result set

Usage

get_result_sets(
  datasets = NA_character_,
  resultSets = NA_character_,
  filter = NA_character_,
  offset = 0,
  limit = 20,
  sort = "+id",
  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
resultSets	A resultSet identifier. Note that result set identifiers are not static and can change when Gemma re-runs analyses internally. Whem using these as inputs, try to make sure you access a currently existing result set ID by basing them on result sets returned for a particular dataset or filter used in get_result_sets
filter	Filter results by matching expression. Use filter_properties function to get a list of all available parameters. These properties can be combined using "and" "or" clauses and may contain common operators such as "=", "<" or "in". (e.g. "taxon.commonName = human", "taxon.commonName in (human,mouse), "id < 1000")
offset	The offset of the first retrieved result.
limit	Defaults to 20. Limits the result to specified amount of objects. Has a maximum value of 100. Use together with offset and the totalElements attribute in the output to compile all data if needed.
sort	Order results by the given property and direction. The '+' sign indicate ascending order whereas the '-' indicate descending.
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.

Details

Output and usage of this function is mostly identical to get_dataset_differential_expression_analyses. The principal difference being the ability to restrict your result sets, being able to query across multiple datasets and being able to use the filter argument to search based on result set properties.

Value

A data table with information about the queried result sets. Note that this function does not return differential expression values themselves. Use get_differential_expression_values to get differential expression values

• result.ID: Result set ID of the differential expression analysis. May represent multiple factors in a single model.

• contrast.ID: Id of the specific contrast factor. Together with the result.ID they uniquely represent a given contrast.

• experiment.ID: Id of the source experiment

• factor.category: Category for the contrast

• factor.category.URI: URI for the contrast category

• factor.ID: ID of the factor

• baseline.factors: Characteristics of the baseline. This field is a data.table

• experimental.factors: Characteristics of the experimental group. This field is a data.table

• isSubset: TRUE if the result set belong to a subset, FALSE if not. Subsets are created when performing differential expression to avoid unhelpful comparisons.

• subsetFactor: Characteristics of the subset. This field is a data.table

Examples

get_result_sets(dataset = 1)
# get all contrasts comparing disease states. use filter_properties to see avaialble options
get_result_sets(filter = "baselineGroup.characteristics.value = disease")

PavlidisLab/Gemma-API documentation built on Oct. 25, 2024, 10:25 a.m.