Data Augmentation Techniques to Improve Metabolomic Analysis in Niemann-Pick Type C Disease

Francisco J. Moreno-Barea, Leonardo Franco, David A. Elizondo, Martin Grootveld. Data Augmentation Techniques to Improve Metabolomic Analysis in Niemann-Pick Type C Disease. In Derek Groen, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot, editors, Computational Science - ICCS 2022 - 22nd International Conference, London, UK, June 21-23, 2022, Proceedings, Part III. Volume 13352 of Lecture Notes in Computer Science, pages 78-91, Springer, 2022. [doi]

@inproceedings{Moreno-BareaFEG22,
  title = {Data Augmentation Techniques to Improve Metabolomic Analysis in Niemann-Pick Type C Disease},
  author = {Francisco J. Moreno-Barea and Leonardo Franco and David A. Elizondo and Martin Grootveld},
  year = {2022},
  doi = {10.1007/978-3-031-08757-8_8},
  url = {https://doi.org/10.1007/978-3-031-08757-8_8},
  researchr = {https://researchr.org/publication/Moreno-BareaFEG22},
  cites = {0},
  citedby = {0},
  pages = {78-91},
  booktitle = {Computational Science - ICCS 2022 - 22nd International Conference, London, UK, June 21-23, 2022, Proceedings, Part III},
  editor = {Derek Groen and Clélia de Mulatier and Maciej Paszynski and Valeria V. Krzhizhanovskaya and Jack J. Dongarra and Peter M. A. Sloot},
  volume = {13352},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-08757-8},
}