Biomarker Selection

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)

See Pricing & Packages

ROC curve analysis

Cross-validation of different models