Una introducción a otras dos estructuras de mercado

Moving beyond linearity (gam)

In this activity, we will explore real clinical data from breast cancer patients in **The Cancer Genome Atlas (TCGA)**. The goal is not only to learn R. The goal is to use R to ask scientific questions: - What information is collected from cancer patients? - How do we summarize a large clinical dataset? - What kinds of missing or uncertain values appear in real biomedical data? - How can clinical features help us understand breast cancer subtypes? Later in DREAM-High, we will connect this type of clinical information to **gene expression data**. That is where computational biology becomes especially powerful: we can ask how molecular patterns relate to patient and tumor characteristics.