Cancer Driver Gene Discovery: A Patient-Level Statistical Framework

Abstract excerpt

Tumor genomes harbor a mixture of neutral and positively selected mutations, yet distinguishing true cancer drivers remains a major challenge. Several factors can obscure the detection of selection signals, among which patient-specific variation in mutational burden plays a significant role. Current approaches often fail to account for the heterogeneity in mutation burden across different patients; in particular,...

Topics

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• Algorithms
• Genome, Human
• MEF2 Transcription Factors
• Mutation Rate
• Peptide Elongation Factor 1
• Receptors, G-Protein-Coupled
• Software
• Whole Genome Sequencing

Identifiers and source

Literature Corpus work

6ef14e30-6a22-5692-98e5-af1aa4bfc196

DOI

10.64898/2026.02.16.706129