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@biotrend.com