gx.ebarraysWorkflow: Runs the workflow _Compute differentially expressed genes...

View source: R/platform-tools.R

gx.ebarraysWorkflowR Documentation

Runs the workflow Compute differentially expressed genes using EBarrays

Description

This function computes differentially expressed genes using EBarrays.

Usage

gx.ebarraysWorkflow(inputTable, probeType = "Probes: Affymetrix",
  species = "Human (Homo sapiens)", controlName = "Control",
  controlColumns = c(), conditions = list(), resultFolder,
  skipCompleted = T, wait = T, verbose = F)

Arguments

inputTable

input table with expression data

probeType

type of probes

species

species of the input track genome

controlName

name for the control column group

controlColumns

list of control column names

conditions

a list with condition names and columns

resultFolder

path of result folder

skipCompleted

skip already completed steps

wait

set true to wait for the analysis to complete

verbose

set true for more progress info

Details

A list of column names that make up the control condition is necessary. Furthermore, there must be at least one more condition in conditions list parameter. At most four conditions (besides the control) can be considered. Their names are specified within the list like group_2="name of second group", ..., group_5=.... Note that there is no group_1. Furthermore, one needs to assign columns of the input table to conditions (groups). This information is provided within the same parameter list like Columns_group_2=c("first column name for group_2",...), Columns_group_3=c(...).

Value

the job id of the submitted task. The job id can be used to retrieve information about the status of the analysis.


genexplain/geneXplainR documentation built on Oct. 24, 2023, 8:56 a.m.