Modelling the PCR amplification process by a size-dependent branching process and estimation of the efficiency

被引：28

作者：

Lalam, N

Jacob, C

Jagers, P

机构：

[1] Eurandom, NL-5600 MB Eindhoven, Netherlands

[2] INRA, Lab Biometrie, F-78352 Jouy En Josas, France

[3] Chalmers Univ Technol, S-41296 Gothenburg, Sweden

来源：

ADVANCES IN APPLIED PROBABILITY | 2004年 / 36卷 / 02期

关键词：

polymerase chain reaction; size-dependent branching; kinetic model; conditional least squares;

D O I：

10.1239/aap/1086957587

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

We propose a stochastic modelling of the PCR amplification process by a size-dependent branching process starting as a supercritical Bienayme-Galton-Watson transient phase and then having a saturation near-critical size-dependent phase. This model allows us to estimate the probability of replication of a DNA molecule at each cycle of a single PCR trajectory with a very good accuracy.

引用

页码：602 / 615

页数：14

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