Table 3.xls (5.5 kB)
The degree of matching between proteomic and transcriptomic samples for PBMC and liver tissue.
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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-KrichmarThe numbers in parenthesis denote the number of samples that were moved from matched category into matched balanced and unmatched balanced categories.
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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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