View source: R/preprocess_classes.R
Sets up a class for storing the options for preprocessing ExpressionSets (that is, filtering the samples and probes; adding entrez and symbol columns)
1 2 | MicroarrayPreprocessConfig(acc, entrezgene_db, keep_sample_fn = NULL,
keep_probe_fn = NULL, annot_gpl = as.logical(NA))
|
acc |
An identifier for the microarray dataset. Typically this would be the GEO or ArrayExpress identifier. |
entrezgene_db |
A string or an |
keep_sample_fn, keep_probe_fn |
Functions that return a vector of integer indices that can be used to subset an ExpressionSet. By default, all samples and features will be kept. Can be specified as a function literal or a "function_name" or a "pkg_name::function_name" string. If NULL, the default functions will keep all samples or keep all probes. |
annot_gpl |
Logical. Have the features in the dataset been annotated with a GPL? |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.