How is Sigmoidal Analysis Used in Biomarker Discovery?
Sigmoidal analysis is used in biomarker discovery by examining the relationship between biomarker levels and clinical outcomes. By fitting data to a sigmoidal curve, researchers can identify critical thresholds that indicate significant changes in disease progression or treatment response. This helps in identifying reliable biomarkers for early detection and monitoring of cancer.
