Title :
Maximum a posteriori (MAP) estimator for polymerase chain reaction (PCR) processes
Author :
Kakavand, Hossein ; O´Brien, Deirdre ; Hassibi, Arjang ; Lee, Thomas H.
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., CA, USA
Abstract :
A maximum a posteriori (MAP) estimator for polymerase chain reaction (PCR) assays is presented. The estimation relies on the replication efficiencies of the PCR assay and the observed end-point concentration of the PCR product at an arbitrary cycle. This derivation is carried out in view of the stochastic progression of the amplicons, and the assumption that the end-point concentrations for any particular initial value have a jointly Gaussian distribution. In addition, we provide an extension for the estimator which can be applied to various quantitative PCR assays.
Keywords :
DNA; Gaussian distribution; biochemistry; cellular biophysics; molecular biophysics; DNA; Gaussian distribution; MAP; PCR assay; amplicon stochastic progression; end-point concentration; maximum a posteriori estimator; nucleic acid amplification; polymerase chain reaction process; Bismuth; DNA; Forensics; Gaussian distribution; Polymers; Probability distribution; Probes; Sequences; Stochastic processes; Temperature;
Conference_Titel :
Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-8439-3
DOI :
10.1109/IEMBS.2004.1403854
