View source: R/platform-tools.R
gx.ebarraysWorkflow | R Documentation |
This function computes differentially expressed genes using EBarrays.
gx.ebarraysWorkflow(inputTable, probeType = "Probes: Affymetrix",
species = "Human (Homo sapiens)", controlName = "Control",
controlColumns = c(), conditions = list(), resultFolder,
skipCompleted = T, wait = T, verbose = F)
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 |
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(...)
.
the job id of the submitted task. The job id can be used to retrieve information about the status of the analysis.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.