Predicts gene modules (sets of co-expressed genes) from a previously preprocessed (see Details) gene expression data matrix using independent component analysis (ICA).
a numeric matrix(-like object), typically with genes in rows and samples (e.g., microarrays) in columns
an integer specifying the number of modules to predict
additional arguments to be passed to
This function runs an ICA algorithm (currently only fastICA is supported)
on the input matrix. It does not conduct preprocessing operations (such as centering and
scaling on the rows and/or columns) on the input matrix first;
be run on the input matrix to carryout such steps prior to using this function.
A list with the following elements:
The estimated source (gene module definition) matrix
The estimated mixing (e.g., weight of each module in each array) matrix
1 2 3
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.