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Priority-Lasso: a simple hierarchical approach to the prediction of clinical outcome using multi-omics data.

Simon KlauVindi JurinovicRoman HornungTobias HeroldAnne-Laure Boulesteix
Published in: BMC bioinformatics (2018)
The results show that priority-Lasso is able to keep pace with Lasso in terms of prediction accuracy. Variables of blocks with higher priorities are favored over variables of blocks with lower priority, which results in easily usable and transportable models for clinical practice.
Keyphrases
  • clinical practice
  • electronic health record
  • single cell
  • big data
  • machine learning
  • artificial intelligence