The significance of molecular heterogeneity in breast cancer batch correction and dataset integration

Abstract Background Breast cancer research benefits from a substantial collection of gene expression datasets that are commonly integrated for subsequent computational analysis. Gene expression batch effects arising between experimental batches, where technical signal differences confound true biolo...

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Principais autores:	Nicholas Moir, Dominic A. Pearce, Simon P. Langdon, T. Ian Simpson
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2025-12-01
coleção:	Breast Cancer Research
Assuntos:	Breast cancer Gene expression Dataset integration Biomarker fidelity Batch correction Molecular heterogeneity
Acesso em linha:	https://doi.org/10.1186/s13058-025-02159-7
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