Biomarker selection

Biomarker selection

Biomarker selection uses a variety of models to identify a subset of biomarkers that best differentiate the control from test samples

What it is

Biomarker selection uses a variety of models to identify a subset of biomarkers that best differentiate the control from test samples. The models that are used in this service include:
  • Logistic regression
  • Linear discriminant analysis (LDA)
  • Support vector machine (SVM)
  • Random forest
  • Other models may be used

When should this service be used?

Biomarker discovery

What you get

Your final report will contain the following information:
  • Description of analysis steps performed
  • Predictive modeling using a subset of data
  • ROC analysis (see figure)

      

For more information or quote request, contact us at tech@quimigen.com