Bayesian Piecewise Constant Regression for DNA copy number estimation (mBPCR)

The mBPCR method is a Bayesian regression method for data which are noisy observations of a piecwise constant function. The original Bayesian Piecewise Constant Regression method (BPCR) was presented by Hutter (2007a) and (2007b). The mBPCR algorithm is a modification of BPCR, which significantly improves the estimation of the number of segments and the boundaries of the piecewise constant function (Rancoita et al. (2009)).
Since the copy number of a genomic region can be considered as a piecewise constant function, mBPCR can be used to estimate the copy number profiles.

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