Description Usage Arguments Details Value Author(s) References See Also Examples
Input a matrix of continuous data with genes as rows and samples as columns. Algorithm may take some considerable time to run (1 hour for 20,500 genes across 800 samples)
This should be a log2 gene expression matrix with genes as rownames and samples as column names. Suitable for gene expression data from any platform - NGS datasets should be RPKM or RSEM values.
A numeric. Default is NULL - seed not set.
Note: this is a slightly modified version of the BISEP algorithm from the
BiSEp package: see the original
BISEP function documentation.
The modification allows the random seed to be set so that p-values generated by sampling stay the same
from run to run.
A list containing three matrices. Matrix 1 contains the output of the BISEP algorithm - including the midpoint of the bimodal distribution and the associated p value. Matrix 2 contains the output from the BI algorithm - including the delta, pi and BI values. Matrix 3 contains the input matrix.
Mark Wappett, m.a.wappett at googlemail.com
Wappett et al BMC Genomics 2016
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