Assessing rejection-related disease in kidney transplant biopsies based on archetypal analysis of molecular phenotypes.

ABSTRACT: Conventional histologic diagnosis of rejection in kidney transplants has limited repeatability due to its inherent requirement for subjective assessment of lesions, in a rule-based system that does not acknowledge diagnostic uncertainty. Molecular phenotyping affords opportunities for increased precision and improved disease classification to address the limitations of conventional histologic diagnostic systems and quantify levels of uncertainty. Microarray data from 1,208 kidney transplant biopsies were collected prospectively from 13 centers. Cross-validated classifier scores predicting the presence of antibody-mediated rejection (ABMR), T cell-mediated rejection (TCMR), and 5 related histologic lesions were generated using supervised machine learning methods. These scores were used as i

SUBMITTER: Reeve J 

PROVIDER: S-EPMC5470931 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature