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- W4313562046 abstract "Multi-omic approaches are expected to deliver a broader molecular view of cancer. However, the promised mechanistic explanations have not quite settled yet. Here, we propose a theoretical and computational analysis framework to semi-automatically produce network models of the regulatory constraints influencing a biological function. This way, we identified functions significantly enriched on the analyzed omics and described associated features, for each of the four breast cancer molecular subtypes. For instance, we identified functions sustaining over-representation of invasion-related processes in the basal subtype and DNA modification processes in the normal tissue. We found limited overlap on the omics-associated functions between subtypes; however, a startling feature intersection within subtype functions also emerged. The examples presented highlight new, potentially regulatory features, with sound biological reasons to expect a connection with the functions. Multi-omic regulatory networks thus constitute reliable models of the way omics are connected, demonstrating a capability for systematic generation of mechanistic hypothesis." @default.
- W4313562046 created "2023-01-06" @default.
- W4313562046 creator A5034200924 @default.
- W4313562046 creator A5047094651 @default.
- W4313562046 date "2023-01-05" @default.
- W4313562046 modified "2023-10-14" @default.
- W4313562046 title "Functional impact of multi-omic interactions in breast cancer subtypes" @default.
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