Reproducible audit identifies data leakage and transportability issues in transcriptomic biomarker classification for breast cancer.
A reproducible audit case study of data leakage, feature-selection stability, and external-cohort transportability in transcriptomic biomarker classification, using a leakage-aware SMO-trained linear SVM workflow on public breast-cancer neoadjuvant-chemotherapy cohorts (pCR vs. residual disease). Cohorts: GSE25055 (discovery/internal validation), GSE25065 (same-platform same-study-family validation), and GSE41998 (predeclared cross-platform transportability sensitivity). Version v10.2 (final consistency QA).
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Yang et al. (2026) studied this question.
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