Selected article for: "ensemble gene noise and gene ensemble"
Author: Tristan de Jong; Victor Guryev; Yury M. Moshkin
Title: Discovery of pharmaceutically-targetable pathways and prediction of survivorship for pneumonia and sepsis patients from the view point of ensemble gene noise
  • Document date: 2020_4_11
    • ID: f5w05rc2_16
    Snippet: To this end, we trained binary logistic gradient boosted regression tree models using survival and acute mortality as a binary response variable for clinical outcome and patients' age and blood ensemble gene noise as models' features. The models were trained with XGBoost [36]......
    Document: To this end, we trained binary logistic gradient boosted regression tree models using survival and acute mortality as a binary response variable for clinical outcome and patients' age and blood ensemble gene noise as models' features. The models were trained with XGBoost [36].

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