Article

Social Network Clustering Analysis for Detection Associated Genetic Co-Mutations in Patients with Actionable Driver Mutations in NSCLC

2026-05-14

Abstract excerpt

Non–small cell lung cancer (NSCLC) exhibits genomic heterogeneity that affects tumor immunogenicity and PD-L1 expression. Patient clustering based on shared mutational profiles using social network analysis (SNA) has been narrowly explored. The study aimed to identify subgroups of NSCLC patients with similar somatic mutation profiles using network-based modularity clustering, and to compare these groups with respe...

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Literature Corpus work: c9b6c42c-2b1a-5aa8-9694-2931525879a0
DOI: 10.20944/preprints202605.0999.v1

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