Additional file 2: of Machine learning enables detection of early-stage colorectal cancer by whole-genome sequencing of plasma cell-free DNA

التفاصيل البيبلوغرافية
العنوان: Additional file 2: of Machine learning enables detection of early-stage colorectal cancer by whole-genome sequencing of plasma cell-free DNA
المؤلفون: Wan, Nathan, Weinberg, David, Tzu-Yu Liu, Niehaus, Katherine, Ariazi, Eric, Delubac, Daniel, Kannan, Ajay, White, Brandon, Bailey, Mitch, Bertin, Marvin, Boley, Nathan, Bowen, Derek, Cregg, James, Drake, Adam, Ennis, Riley, Fransen, Signe, Gafni, Erik, Hansen, Loren, Yaping Liu, Otte, Gabriel, Pecson, Jennifer, Rice, Brandon, Sanderson, Gabriel, Aarushi Sharma, John, John St., Tang, Catherina, Tzou, Abraham, Young, Leilani, Girish Putcha, Haque, Imran
بيانات النشر: figshare, 2019.
سنة النشر: 2019
الوصف: Figure S1. Performance of confounding variable in k-fold and target CV procedure (ROC curves) for: a) Age and binned-age CV b) Batch and k-batch CV c) Processing date and ordered k-batch CV d) Institution and balanced k-batch CV. Note that stratification CVs (i.e., binned-age, k-batch, and ordered k-batch) perform at chance (mean AUC of 0.50) when the distribution of labels in the test covariate is even and would result in an ROC that is just a diagonal line. The variance seen in some of the target procedures is due to class imbalance in the test data. (DOCX 420 kb)
DOI: 10.6084/m9.figshare.9728507.v1
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ececf063b4d014078ea49ffc328d59f3
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....ececf063b4d014078ea49ffc328d59f3
قاعدة البيانات: OpenAIRE
الوصف
DOI:10.6084/m9.figshare.9728507.v1