Learning a confidence score and the latent space of a new supervised autoencoder for diagnosis and prognosis in clinical metabolomic studies

David Chardin, Cyprien Gille, Thierry Pourcher, Olivier Humbert, Michel Barlaud. Learning a confidence score and the latent space of a new supervised autoencoder for diagnosis and prognosis in clinical metabolomic studies. BMC Bioinformatics, 23(1):361, 2022. [doi]

@article{ChardinGPHB22,
  title = {Learning a confidence score and the latent space of a new supervised autoencoder for diagnosis and prognosis in clinical metabolomic studies},
  author = {David Chardin and Cyprien Gille and Thierry Pourcher and Olivier Humbert and Michel Barlaud},
  year = {2022},
  doi = {10.1186/s12859-022-04900-x},
  url = {https://doi.org/10.1186/s12859-022-04900-x},
  researchr = {https://researchr.org/publication/ChardinGPHB22},
  cites = {0},
  citedby = {0},
  journal = {BMC Bioinformatics},
  volume = {23},
  number = {1},
  pages = {361},
}