Alexis Vandenbon and Diego Diez (2020): A clustering-independent method for finding differentially expressed genes in single-cell transcriptome data. Nature Communications

Alexis Vandenbon and Diego Diez (2023): A universal tool for predicting differentially active features in single-cell and spatial genomics data. Scientific Reports

Corresponding BibTeX entries:

  @Article{,
    title = {A clustering-independent method for finding differentially
      expressed genes in single-cell transcriptome data.},
    author = {Alexis Vandenbon and Diego Diez},
    year = {2020},
    number = {1},
    volume = {11},
    pages = {4318},
    doi = {10.1038/s41467-020-17900-3},
    journal = {Nature Communications},
  }

  @Article{,
    title = {A universal tool for predicting differentially active
      features in single-cell and spatial genomics data.},
    author = {Alexis Vandenbon and Diego Diez},
    year = {2023},
    number = {1},
    volume = {13},
    pages = {11830},
    doi = {10.1038/s41598-023-38965-2},
    journal = {Scientific Reports},
  }