pdig.0000447.s001.pdf (4.41 MB)
Supplemental methods and supplemental results for this study.
journal contribution
posted on 2024-02-09, 18:32 authored by Stanislav Listopad, Christophe Magnan, Le Z. Day, Aliya Asghar, Andrew Stolz, John A. Tayek, Zhang-Xu Liu, Jon M. Jacobs, Timothy R. Morgan, Trina M. Norden-KrichmarSupplemental methods and supplemental results for this study.
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used machine learningmachine learning modelsfeature selection pipelinesprotein matches withinprotein expression modelsprotein biomarker panelsbuilt separate classificationliver tissue modelsacross liver tissuecross validation accuracyidentify combined geneimproved classification accuracyhigh classification accuracyassociated liver diseasediv >< pbuilt integrated geneliver tissueclassification accuracyprotein biomarkersintegrated geneassociated hepatitisassociated cirrhosisfollowing genesbp1 proteomic datapbmc dataliquid biopsyintegrated proteomicshealthy controlsgsta2 diagnostic challengeclc4m classify patientsattained 90attained 83attained 100also identifiedallowed us
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