Quantitative analysis is crucial in cancer research for several reasons:
Precision Medicine: It enables the development of personalized treatment plans by analyzing the genetic and molecular profiles of individual patients. Biomarker Identification: Quantitative methods help in identifying biomarkers that can predict disease progression, treatment response, and patient outcomes. Clinical Trials: Statistical techniques are essential for designing and analyzing clinical trials to evaluate the efficacy and safety of new treatments. Big Data Analysis: With the advent of high-throughput technologies, large datasets are generated. Quantitative analysis is necessary to handle and interpret these big data sets.
