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Article

Pattern-centric transformation of omics-data sources grounded on multi-wise gene associations aids predictive tasks in TCGA while ensuring interpretability

2023-05-30

Abstract excerpt

<h4>Motivation</h4> The increasing prevalence of omics data sources is pushing the study of regulatory mechanisms underlying complex diseases such as cancer. However, the vast quantities of features produced and the inherent interplay between them lead to a level of complexity that hampers both descriptive and predictive tasks, requiring custom-built algorithms that can extract relevant information from these sou...

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Literature Corpus work
06a81732-47ad-5660-b045-c04c9179157d
DOI
10.1101/2023.05.28.542574
Open publication

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Pattern-centric transformation of omics-data sources grounded on multi-wise gene associations aids predictive tasks in TCGA while ensuring interpretabilityDOI 10.1101/2023.05.28.542574
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