add_dataset-ReactomeAnalysisRequest-ExpressionSet-method: add_dataset - ExpressionSet

In ReactomeGSA: Client for the Reactome Analysis Service for comparative multi-omics gene set analysis

Description

Adds a dataset to the analysis request

Usage

## S4 method for signature 'ReactomeAnalysisRequest,ExpressionSet'
add_dataset(
  request,
  expression_values,
  name,
  type,
  comparison_factor,
  comparison_group_1,
  comparison_group_2,
  sample_data = NULL,
  additional_factors = NULL,
  overwrite = FALSE,
  ...
)

Arguments

request	ReactomeAnalysisRequest.
expression_values	ExpressionSet. Here, the sample_data is automaticall extracted from the expression_values object unless sample_data is specified as well.
name	character. Name of the dataset. This must be unique within one request.
type	character. The type of the dataset. Get available types using get_reactome_data_types
comparison_factor	character. The name of the sample property to use for the main comparison. The sample properties are either retrieved from expression_values or from sample_data.
comparison_group_1	character. Name of the first group within comparison_factor to use for the comparison.
comparison_group_2	character. Name of the second group within comparison_factor to use for the comparison.
sample_data	data.frame (optional) data.frame containing the sample metadata of the expression_values. Depending on the object type of expression_values, this information can also be extracted from there.
additional_factors	vector. Vector of additional sample properties that are used as blocking factors (if supported by the chosen analysis method) in the gene set analysis.
overwrite	boolean. If set to TRUE, datasets with the same name will be overwritten
...	Additional parameters passed to downstream functions. See the respective documentation of whether any additional parameters are supported.

Value

The ReactomeAnalysisRequest object with the added dataset

See Also

Other add_dataset methods: add_dataset,ReactomeAnalysisRequest,DGEList-method, add_dataset,ReactomeAnalysisRequest,EList-method, add_dataset,ReactomeAnalysisRequest,data.frame-method, add_dataset,ReactomeAnalysisRequest,matrix-method, add_dataset()

Examples

# create a request using Camera as an analysis
library(ReactomeGSA.data)
data(griss_melanoma_proteomics)
library(methods)

my_request <- ReactomeAnalysisRequest(method = "Camera")

# since the expression_values object is a limma EList object, the sample_data is
# retrieved from there

# add the dataset
my_request <- add_dataset(request = my_request,
                          expression_values = griss_melanoma_proteomics,
                          name = "Proteomics",
                          type = "proteomics_int",
                          comparison_factor = "condition",
                          comparison_group_1 = "MOCK",
                          comparison_group_2 = "MCM",
                          additional_factors = c("cell.type", "patient.id"))

ReactomeGSA documentation built on April 17, 2021, 6:01 p.m.