A novel non‐parametric method for uncertainty evaluation of correlation‐based molecular signatures: its application on PAM50 algorithm
Sign Up to like & getrecommendations! Published in 2017 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btw704
Abstract: Motivation: The PAM50 classifier is used to assign patients to the highest correlated breast cancer subtype irrespectively of the obtained value. Nonetheless, all subtype correlations are required to build the risk of recurrence (ROR) score,… read more here.
Keywords: uncertainty; uncertainty evaluation; novel non; method uncertainty ... See more keywords
A Gaussian Process Method with Uncertainty Quantification for Air Quality Monitoring
Sign Up to like & getrecommendations! Published in 2021 at "Atmosphere"
DOI: 10.3390/atmos12101344
Abstract: The monitoring and forecasting of particulate matter (e.g., PM2.5) and gaseous pollutants (e.g., NO, NO2, and SO2) is of significant importance, as they have adverse impacts on human health. However, model performance can easily degrade… read more here.
Keywords: process method; process; method uncertainty; air quality ... See more keywords
mumpce_py: A Python implementation of the Method of Uncertainty Minimization using Polynomial Chaos Expansions
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Research of the National Institute of Standards and Technology"
DOI: 10.6028/jres.122.039
Abstract: The Method of Uncertainty Minimization using Polynomial Chaos Expansions (MUM-PCE) [1-6] was developed as a software tool to constrain physical models against experimental measurements. These models contain parameters that cannot be easily determined from first… read more here.
Keywords: uncertainty minimization; uncertainty; using polynomial; method uncertainty ... See more keywords