GPMS: A Genetic Programming Based Approach to Multiple Alignment of Liquid Chromatography-Mass Spectrometry Data

Soha Ahmed, Mengjie Zhang, Lifeng Peng. GPMS: A Genetic Programming Based Approach to Multiple Alignment of Liquid Chromatography-Mass Spectrometry Data. In Anna Isabel Esparcia-Alcázar, Antonio Miguel Mora, editors, Applications of Evolutionary Computation - 17th European Conference, EvoApplications 2014, Granada, Spain, April 23-25, 2014, Revised Selected Papers. Volume 8602 of Lecture Notes in Computer Science, pages 915-927, Springer, 2014. [doi]

@inproceedings{AhmedZP14-2,
  title = {GPMS: A Genetic Programming Based Approach to Multiple Alignment of Liquid Chromatography-Mass Spectrometry Data},
  author = {Soha Ahmed and Mengjie Zhang and Lifeng Peng},
  year = {2014},
  doi = {10.1007/978-3-662-45523-4_74},
  url = {http://dx.doi.org/10.1007/978-3-662-45523-4_74},
  researchr = {https://researchr.org/publication/AhmedZP14-2},
  cites = {0},
  citedby = {0},
  pages = {915-927},
  booktitle = {Applications of Evolutionary Computation - 17th European Conference, EvoApplications 2014, Granada, Spain, April 23-25, 2014, Revised Selected Papers},
  editor = {Anna Isabel Esparcia-Alcázar and Antonio Miguel Mora},
  volume = {8602},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-662-45522-7},
}