Prediction of success for polymerase chain reactions using the Markov maximal order model and support vector machine.

@article{Li2015PredictionOS,
  title={Prediction of success for polymerase chain reactions using the Markov maximal order model and support vector machine.},
  author={Chun Li and Yan Yang and Wenchao Fei and Ping-an He and Xiaoqing Yu and Defu Zhang and Shumin Yi and Xuepeng Li and Jin Shi Zhu and Changzhong Wang and Zhifu Wang},
  journal={Journal of theoretical biology},
  year={2015},
  volume={369},
  pages={
          51-8
        }
}
Polymerase chain reaction (PCR) is hailed as one of the monumental scientific techniques of the twentieth century, and has become a common and often indispensable technique in many areas. However, researchers still frequently find some DNA templates very hard to amplify with PCR, although many kinds of endeavors were introduced to optimize the amplification. In fact, during the past decades, the experimental procedure of PCR was always the focus of attention, while the analysis of a DNA… Expand
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