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Predictive modelling of response to neoadjuvant therapy in HER2+ breast cancer

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Figshare2023-09-28 更新2026-04-28 收录
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https://figshare.com/articles/dataset/_strong_Predictive_modelling_of_response_to_neoadjuvant_therapy_in_HER2_breast_cancer_strong_/22708834
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Processed sequencing data files from " Predictive modelling of response to neoadjuvant therapy in HER2+ breast cancer" Methods are described in the publication 1. Annnotated somatic mutation data from whole exome DNA-Seq (WXS) (.maf) 30 tumour samples from 22 patients hg38 reference genome 2. Somatic copy number calls from whole exome DNA-Seq (WXS) (.txt & .RData) FACETS somatic copy number calling hisens (high sensitivity; cval=25) cncf .rds output from facets for each sample is stored in the .RData object txt file contains per sample, protein coding gene level copy number calls 3. Normalised Gene Expression Counts from RNA-Seq (.xlsx) 13 pre-treatment tumour biopsy samples collected from patients with early stage HER2+ breast cancer who subsequently received anti-HER2 and chemotherapy neoadjuvant treatment GRCh37 reference genome
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2023-09-28
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