Incorporating knowledge of disease-defining hub genes and regulatory network into a machine learning-based model for predicting treatment response in lupus nephritis after the first renal flare

HIGHLIGHTS

  • who: Ding-Jie Lee from the (UNIVERSITY) have published the Article: Incorporating knowledge of disease-defining hub genes and regulatory network into a machine learning-based model for predicting treatment response in lupus nephritis after the first renal flare, in the Journal: (JOURNAL)
  • what: The study demonstrates that of biological phenotypes into the ML model is feasible for evaluating treatment response after the first RF in LN. The immune signatures used in the study have been proposed by xCell, Bindea et_al, and Danaher et_al . This study demonstrated that the machine_learning (ML) model was interpretable and . . .

     

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