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

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. An excep...

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Detalles Bibliográficos
Autores principales: Kwan, Brian, Fuhrer, Tobias, Montemayor, Daniel, Fink, Jeffery C., He, Jiang, Hsu, Chi-yuan, Messer, Karen, Nelson, Robert G., Pu, Minya, Ricardo, Ana C., Rincon-Choles, Hernan, Shah, Vallabh O., Ye, Hongping, Zhang, Jing, Sharma, Kumar, Natarajan, Loki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9942303/
https://www.ncbi.nlm.nih.gov/pubmed/36803209
http://dx.doi.org/10.1186/s12859-023-05171-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9942303/
https://www.ncbi.nlm.nih.gov/pubmed/36803209
http://dx.doi.org/10.1186/s12859-023-05171-w

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