@article{deAbreueLimaLeifelsNikoloski2018,
  author    = {de Abreu e Lima, Francisco Anastacio and Leifels, Lydia and Nikoloski, Zoran},
  title     = {Regression-based modeling of complex plant traits based on metabolomics data},
  series = {Plant Metabolomics},
  volume    = {1778},
  journal   = {Plant Metabolomics},
  publisher = {Humana Press Inc.},
  address   = {New York},
  isbn      = {978-1-4939-7819-9},
  issn      = {1064-3745},
  doi       = {10.1007/978-1-4939-7819-9_23},
  pages     = {321 -- 327},
  year      = {2018},
  abstract  = {Bridging metabolomics with plant phenotypic responses is challenging. Multivariate analyses account for the existing dependencies among metabolites, and regression models in particular capture such dependencies in search for association with a given trait. However, special care should be undertaken with metabolomics data. Here we propose a modeling workflow that considers all caveats imposed by such large data sets.},
  language  = {en}
}