Hiroshima University researchers have developed a practical framework to identify candidate pathogenic variants hidden among the large number of variants of uncertain significance (VUS) detected in comprehensive genomic profiling (CGP) of cancers. This framework could improve the accuracy of precision oncology by more reliable prioritization of VUS.
This article was originally published on MedicalXpress.com
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