Improved prediction of gene expression through integrating cell signalling models with machine learning

HIGHLIGHTS

• who: Nada Al taweraqi from the Department of Computer, of Manchester, Manchester, UK have published the research work: Improved prediction of gene expression through integrating cell signalling models with machine learning, in the Journal: (JOURNAL)
• what: The authors investigate overcoming these disadvantages by integrating mechanistic cell signalling models with ML. The authors report the results with and without this extra element to validate the influence of adding mechanism knowledge to the model. In Fig 2, the entropy-based model registered the highest accuracy in the models for only 14 genes, compared to stacking- which is . . .
  

   

  

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