Identification and analysis of sex-biased copy number alterations (IMAGE)

Health Data Science

Identification and analysis of sex-biased copy number alterations

Caption

Scientists from Peking University Health Science Center investigated sex differences in genome instability across 16 cancer types, identifying male-biased and female-biased copy number alterations (CNAs) with significant impacts on gene transcription and potential as sex-specific prognostic biomarkers.

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[Chunmei Cui, School of Basic Medical Sciences Peking University]

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