DECO: decompose heterogeneous population cohorts for patient stratification and discovery of sample biomarkers using omic data profiling

Francisco J. Campos-Laborie, Alberto Risueño, M. Ortiz-Estévez, B. Rosón-Burgo, Conrad Droste, Celia Fontanillo, R. Loos, J. M. Sánchez-Santos, Matthew W. Trotter, Javier De Las Rivas. DECO: decompose heterogeneous population cohorts for patient stratification and discovery of sample biomarkers using omic data profiling. Bioinformatics, 35(19):3651-3662, 2019. [doi]

@article{Campos-LaborieR19,
  title = {DECO: decompose heterogeneous population cohorts for patient stratification and discovery of sample biomarkers using omic data profiling},
  author = {Francisco J. Campos-Laborie and Alberto Risueño and M. Ortiz-Estévez and B. Rosón-Burgo and Conrad Droste and Celia Fontanillo and R. Loos and J. M. Sánchez-Santos and Matthew W. Trotter and Javier De Las Rivas},
  year = {2019},
  doi = {10.1093/bioinformatics/btz148},
  url = {https://doi.org/10.1093/bioinformatics/btz148},
  researchr = {https://researchr.org/publication/Campos-LaborieR19},
  cites = {0},
  citedby = {0},
  journal = {Bioinformatics},
  volume = {35},
  number = {19},
  pages = {3651-3662},
}