Description Details Slots Methods References
Data class for the Furlong dataset
A class to hold data from (Zizen 2009) paper (Supp Table 8). This class contains methods to convert it to both binary and continuous DDDataSet objects.
signalMatrix:(matrix) the signal matrix
targetClasses:(factor) the target class names
namessignature(x = "FurlongDataSet"): Get the names of variables (column names of signal matrix)
signalMatrixsignature(object = "FurlongDataSet"): Retrieve the matrix with raw signal values
classLabelssignature(object = "FurlongDataSet"): Retrieve the vector of class labels (as factors)
toDDDataSetsignature(obj = "FurlongDataSet"): Make the DDDataSet objects by selecting different tissues
Robert P. Zinzen et al., "Combinatorial binding predicts spatio-temporal cis-regulatory activity," Nature 462, no. 7269 (November 5, 2009): 65-70.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.