Normalization of nCounter Gene Expression Data Alters Molecular Diagnostics in Kidney Transplantation.

ABSTRACT:

Key points

Normalization methods affected the performance of gene-based diagnostic classifiers for kidney transplant rejection across a large multicenter cohort. Complex normalization reduced classifier performance by overcorrecting signal, while simpler methods preserved rejection signature and key robustness. By identifying optimal normalization methods, this work advances a standardized preprocessing framework for molecular diagnostics in transplantation.

Background

The Banff 2022 classification endorses intragraft gene expression profiling using the Banff Human Organ Transplant (B-HOT) consensus gene panel for rejection diagnosis. However, lack of standardized analytical pipelines, including data normalization, limits clinical implementation, with its effect on diagnosti

SUBMITTER: Piedrafita A 

PROVIDER: S-EPMC13641438 | biostudies-literature | 2026 Oct

REPOSITORIES: biostudies-literature