Results 161 to 170 of about 2,525,063 (363)
Multiple comparisons with the best ROC curve [PDF]
Jason C. Hsu +4 more
openalex +1 more source
Predicting Immunotherapy Outcomes in NSCLC Using RNA and Pathology from Multicenter Clinical Trials
LIRA, a machine learning‐based model, is developed using transcriptomic data from 891 NSCLC patients in the OAK and POPLAR cohorts. Its predictive performance is validated in multiple external cohorts. Patients stratified by LIRA‐score exhibit distinct clinical characteristics and tumor microenvironment profiles.
Zhaojun Wang +32 more
wiley +1 more source
Biostatistics and Epidemiology for the Toxicologist: Rock the ROC Curve. [PDF]
Trebach J, Su MK.
europepmc +1 more source
Detection of thrombus by using phase-image MR scans: ROC curve analysis
NJ Tavares +5 more
openalex +1 more source
Re: The Central Role of Receiver Operating Characteristic (ROC) Curves in Evaluating Tests for the Early Detection of Cancer [PDF]
Stefano Parodi +2 more
openalex +1 more source
Machine‐learning‐directed phytochemical pair ACT/FA, administered at BDD's orthodox ratio, synergistically modulates microglial polarization via dual Nrf2/RORγt targeting to attenuate neuroinflammation and depressive behaviors. This concentration‐dependent synergism replicates the parent formula's efficacy while providing a mechanistic basis for ...
Dongjing Guo +7 more
wiley +1 more source
Nonparametric bootstrap methods for interval estimation of the area under the ROC curve with correlated diagnostic test data: application to whole-virus ELISA testing in swine. [PDF]
Pang J +6 more
europepmc +1 more source
Single‐nucleus RNA sequencing of mid‐gestation brains from fetuses with nonsyndromic cleft lip and palate reveals major disruptions in cell composition, cell‐to‐cell signaling, and gene regulation. The transcription factor MEF2C is identified as a central regulator of these changes and shows that lowering MEF2C impairs synapse formation, linking cleft ...
Liu‐Lin Xiong +19 more
wiley +1 more source
Estimating the area under the ROC curve when transporting a prediction model to a target population. [PDF]
Li B +3 more
europepmc +1 more source

