A generalized covariate-adjusted top-scoring pair algorithm with applications to diabetic kidney disease stage classification in the Chronic Renal Insufficiency Cohort (CRIC) Study

A generalized covariate-adjusted top-scoring pair algorithm with applications to diabetic kidney disease stage classification in the Chronic Renal Insufficiency Cohort (CRIC) Study

Abstract Background The growing amount of high dimensional biomolecular data has spawned new statistical and computational models for risk prediction and disease classification. Yet, many of these methods do not yield biologically interpretable models, despite offering high classification accuracy....

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Bibliographic Details
Main Authors: Brian Kwan, Tobias Fuhrer, Daniel Montemayor, Jeffery C. Fink, Jiang He, Chi-yuan Hsu, Karen Messer, Robert G. Nelson, Minya Pu, Ana C. Ricardo, Hernan Rincon-Choles, Vallabh O. Shah, Hongping Ye, Jing Zhang, Kumar Sharma, Loki Natarajan
Format: Article
Language:English
Published: BMC 2023-02-01
Series:BMC Bioinformatics
Subjects:
Biomarker
Classification
Feature selection
Kidney disease
Metabolomics
Order statistics
Online Access:https://doi.org/10.1186/s12859-023-05171-w

Internet

https://doi.org/10.1186/s12859-023-05171-w

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