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Abstract Objective: Classification tasks are an open challenge in the field of biomedicine. While several machine-learning techniques exist to accomplish this objective, several peculiarities associated with biomedical data, especially when it comes to omics measurements, prevent their use or good performance achievements. Omics approaches aim to understand a complex biological system through systematic analysis of its content at the molecular level.
Introduction Adrenocortical carcinoma (ACC) is a rare and aggressive cancer that originates in the adrenal gland cortex. Among all adrenal tumors, adrenocortical carcinoma is one of the most prevalent cancers with one of the worst prognoses (Mansmann et al., 2004). Despite advancements in cancer research, very limited therapeutic options are available (Shariq and McKenzie, 2021).
1 Introduction As the diagnostic utility of whole genome sequencing (WGS) in rare disease populations is increasingly documented (Stavropoulos et al., 2016; Clark et al., 2018), there is a growing appreciation for the direct implication of non-coding variation in heritable disease (French and Edwards, 2020).
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