GenomicsBioinformaticsPeer-reviewed
Avoiding test set bias with rank-based prediction
Prasad Patil, Peirre-Olivier Bachant-Winner, Benjamin Haibe-Kains, Jeffrey T Leek
The paper introduces a rank-based prediction framework to avoid test set bias by eliminating the need for cross-sample normalization, demonstrating its effectiveness with a breast cancer gene signature.
DOI 10.1093/bioinformatics/btv157