What Are the Challenges in Studying Non-Linear Relationships in Cancer?
Studying non-linear relationships in cancer poses several challenges. Traditional statistical methods may not be adequate to analyze complex interactions, necessitating advanced computational techniques like machine learning and systems biology. Moreover, the vast heterogeneity among cancer types and individual patients further complicates the identification of consistent patterns.
Data collection is another significant challenge. High-quality, longitudinal data is essential for understanding non-linear relationships, but such data is often scarce. Collaborative efforts and large-scale initiatives like The Cancer Genome Atlas are crucial for overcoming these hurdles.
