Bayesian Sample Size Calculations for External Validation Studies of Risk Prediction Models. [PDF]
Sadatsafavi M +4 more
europepmc +1 more source
Measurement of person-centred consultation skills among healthcare practitioners: a systematic review of reviews of validation studies. [PDF]
van Dongen A +3 more
europepmc +1 more source
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley +1 more source
NRAS and SREBF1 identified as mitophagy-associated risk genes for rheumatoid arthritis through interpretable machine learning and experimental validation studies. [PDF]
Li H +8 more
europepmc +1 more source
Assessment of 24-hour physical behaviour in adults via wearables: a systematic review of validation studies under laboratory conditions. [PDF]
Giurgiu M +11 more
europepmc +1 more source
Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley +5 more
wiley +1 more source
Contagious Caprine Pleuropneumonia cELISA validation : Vaccine quality assurance prevalence studies [PDF]
Bodjo, C. +6 more
core
CONTEST: A generalization of ONEST to estimate sample size for predictive augmented intelligence method validation studies. [PDF]
Olson BK +3 more
europepmc +1 more source
Technical and Diagnostic Issues in Whole Slide Imaging Published Validation Studies. [PDF]
Rizzo PC +13 more
europepmc +1 more source
This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns +10 more
wiley +1 more source

