To better describe patients, we use mutated genes to construct patient features. We find that the frequency of genes mutations is different in different cancers. As illustrated in Fig. 1b, some genes are mutated in all cancers, while others are mutated only in certain cancers. Therefore, we define a weight to balance the effects of different genetic mutations. The weight is defined as:
where is the total number of gene mutations in the 14 cancers, and is the total number of gene mutations in cancer . We create a new 128-dimensional feature by fusing mutant genes from the same sample in the same cluster. Finally, the identical samples are spliced across all clusters to create a 1,280-dimensional vector that represents patient features.
Do you have any questions about this protocol?
Post your question to gather feedback from the community. We will also invite the authors of this article to respond.