PRODE recovers essential and context-essential genes through neighborhood-informed scores
Abstract Gene context-essentiality assessment supports precision oncology opportunities. The variability of gene effects inference from loss-of-function screenings across models and technologies limits identifying robust hits. We propose a computational framework named PRODE that integrates gene eff...
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| Main Authors: | Thomas Cantore, Paola Gasperini, Riccardo Bevilacqua, Yari Ciani, Sanju Sinha, Eytan Ruppin, Francesca Demichelis |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-02-01
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| Series: | Genome Biology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13059-025-03501-0 |
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