The netDx algorithm is described in:

  Pai S, Hui S, Isserlin R, Shah MA, Kaka H, Bader GD (2019). “netDx:
  interpretable patient classification using integrated patient
  similarity networks.” _Molecular Systems Biology_, *15*, e8497.
  doi:10.15252/msb.20188497 <https://doi.org/10.15252/msb.20188497>.

A BibTeX entry for LaTeX users is

  @Article{netDx-methods,
    title = {{netDx: interpretable patient classification using integrated patient similarity networks}},
    author = {Shraddha Pai and Shirley Hui and Ruth Isserlin and Muhammad A Shah and Hussam Kaka and Gary D. Bader},
    year = {2019},
    journal = {Molecular Systems Biology},
    volume = {15},
    pages = {e8497},
    doi = {10.15252/msb.20188497},
    pubmed = {30872331},
  }

The netDx package is described in:

  Pai S, Weber P, Isserlin R, Kaka H, Hui S, Shah MA, Giudice L, Giugno
  R, Nøhr AK, Baumbach J, Bader GD (2021). “netDx: Software for
  building interpretable patient classifiers by multi-'omic data
  integration using patient similarity networks.” _F1000Research_, *9*,
  1239. doi:10.12688/f1000research.26429.2
  <https://doi.org/10.12688/f1000research.26429.2>.

A BibTeX entry for LaTeX users is

  @Article{netDx-software,
    title = {{netDx: Software for building interpretable patient classifiers by multi-'omic data integration using patient similarity networks}},
    author = {Shraddha Pai and Philipp Weber and Ruth Isserlin and Hussam Kaka and Shirley Hui and Muhammad A Shah and Luca Giudice and Rosalba Giugno and Anne Krogh Nøhr and Jan Baumbach and Gary D. Bader},
    year = {2021},
    journal = {F1000Research},
    volume = {9},
    pages = {1239},
    doi = {10.12688/f1000research.26429.2},
    pubmed = {33628435},
  }