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Author

Francesco Iorio

4 papers indexed here

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#gene editing Open access Sep 2026

Supplementary Datasets underlying analysis and results presented in CRISPR-enhanced assessment of variants of unknown significance nominates oncology therapeutic targets and drug repositioning opportunities. Savino et Al. 2026 and Data Package to reproduce results and figures.

Interpreting infrequent somatic variants remains a challenge in cancer genomics. We developed CRISPR-VUS, a framework using public Cancer Dependency Map data to identify Dependency-Associated Mutations (DAMs) - variants linked to increased host-gene dependency - with resolution extending to singleton events. Analysis o...

Francesco Iorio · 0 citations
#gene editing Open access Sep 2026

Supplementary Datasets and Code Package for CRISPR-enhanced assessment of variants of unknown significance nominates oncology therapeutic targets and drug repositioning opportunities Savino et Al. 2026

Interpreting infrequent somatic variants remains a challenge in cancer genomics. We developed CRISPR-VUS, a framework using public Cancer Dependency Map data to identify Dependency-Associated Mutations (DAMs) - variants linked to increased host-gene dependency - with resolution extending to singleton events. Analysis o...

Francesco Iorio · 0 citations
#gene editing Open access Sep 2026

Supplementary Datasets underlying analysis and results presented inCRISPR-enhanced assessment of variants of unknown significance nominates oncology therapeutic targets and drug repositioning opportunities. Savino et Al. 2026

The functional interpretation of infrequent somatic variants remains a challenge in cancer genomics. We developed CRISPR-VUS, a computational framework using public Cancer Dependency Map data to identify Dependency-Associated Mutations (DAMs) - somatic variants associated with increased dependency on their host genes -...

Francesco Iorio · 0 citations
#gene editing Open access Sep 2026

Supplementary Datasets underlying analysis and results presented inCRISPR-enhanced assessment of variants of unknown significance nominates oncology therapeutic targets and drug repositioning opportunities. Savino et Al. 2026

The functional interpretation of infrequent somatic variants remains a challenge in cancer genomics. We developed CRISPR-VUS, a computational framework using public Cancer Dependency Map data to identify Dependency-Associated Mutations (DAMs) - somatic variants associated with increased dependency on their host genes -...

Francesco Iorio · 0 citations

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