Learning Concave Conditional Likelihood Models for Improved Analysis of Tandem Mass Spectra

John T. Halloran, David M. Rocke. Learning Concave Conditional Likelihood Models for Improved Analysis of Tandem Mass Spectra. In Samy Bengio, Hanna M. Wallach, Hugo Larochelle, Kristen Grauman, Nicolò Cesa-Bianchi, Roman Garnett, editors, Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montréal, Canada. pages 5425-5435, 2018. [doi]

@inproceedings{HalloranR18,
  title = {Learning Concave Conditional Likelihood Models for Improved Analysis of Tandem Mass Spectra},
  author = {John T. Halloran and David M. Rocke},
  year = {2018},
  url = {http://papers.nips.cc/paper/7787-learning-concave-conditional-likelihood-models-for-improved-analysis-of-tandem-mass-spectra},
  researchr = {https://researchr.org/publication/HalloranR18},
  cites = {0},
  citedby = {0},
  pages = {5425-5435},
  booktitle = {Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montréal, Canada},
  editor = {Samy Bengio and Hanna M. Wallach and Hugo Larochelle and Kristen Grauman and Nicolò Cesa-Bianchi and Roman Garnett},
}