2024
DOI: 10.1093/bib/bbae635
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CancerHubs: a systematic data mining and elaboration approach for identifying novel cancer-related protein interaction hubs

Ivan Ferrari,
Federica De Grossi,
Giancarlo Lai
et al.

Abstract: Conventional approaches to predict protein involvement in cancer often rely on defining either aberrant mutations at the single-gene level or correlating/anti-correlating transcript levels with patient survival. These approaches are typically conducted independently and focus on one protein at a time, overlooking nucleotide substitutions outside of coding regions or mutational co-occurrences in genes within the same interaction network. Here, we present CancerHubs, a method that integrates unbiased mutational … Show more

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