I am new to Xena and have recently embarked on a journey into the realm of cancer omics data analysis. Due to my non-biological background, I find it challenging to comprehend the TCGA (The Cancer Genome Atlas) data, especially in light of a recent paper titled "A Multimodal Graph Neural Network Framework for Cancer Molecular Subtype Classification," which utilized Xena data. I am currently struggling to understand the preprocessing steps applied to TCGA data and how Xena obtained the reported results. Additionally, I am uncertain about which types (TYPE->SUBTYPE IN TCGA ) of experiments are suitable for molecular subtyping. I kindly request assistance and guidance in my research endeavors, and I am open to the possibility of someone serving as a mentor to help me acquire domain knowledge.Iam looking for recommended resources, such as links, courses, journals, or anything that could be beneficial for my research, to gain domain knowledge in cancer data