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. 2023 Jan 13;39(2):btad021. doi: 10.1093/bioinformatics/btad021

Table 1.

Review questions

Review questions
1. What is multi-omic data in practice?
1.1. Which types of -omics features made up the ‘data dimensions’?
1.2. How is the data structured: how many features versus samples?
2. What analysis has been done on multi-omics data?
2.1. Which ML techniques were used?
2.2. What were the goals of the ML application?
2.3 What were the targets/labels of classification tasks?
3. Can we explain trends using an analysis of the citation of papers since 2015?