CNAttention: an attention-based deep multiple-instance method for uncovering copy number aberration signatures across cancers.

ABSTRACT: Somatic copy number aberrations (CNAs) represent a distinct class of genomic mutations associated with oncogenetic effects. Over the past three decades, significant volumes of CNA data have been generated through molecular-cytogenetic and genome sequencing-based techniques. These data have been pivotal in identifying cancer-related genes and advancing research on the relationship between CNAs and histopathologically defined cancer types. However, comprehensive studies of CNA landscapes and disease parameters are challenging due to the vast diagnostic and genomic heterogeneity encountered in "pan-cancer" approaches. In this study, we introduce CNAttention, an attention-based deep multiple instance learning method designed to comprehensively analyze CNAs across different cancers and uncover

SUBMITTER: Yang Z 

PROVIDER: S-EPMC12805253 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature