Description
Innovators at the University of Pittsburgh have designed a novel algorithm that allows the generation of an internal reference signal for copy number alteration detection. This method, referred to as Virtual Normals, allows for the construction of an unbiased reference signal, free of aberrations, from the test samples of a given experiment.This approach has been proven to obtain the best signal-to-noise ratio of alteration values, as validated by an Applied Biosystems Taqman copy number analysis approach.IP Status
Software
