FT‐ICR‐MS‐based metabolomics: A deep dive into plant metabolism
Metabolomics involves the identification and quantification of metabolites to unravel the
chemical footprints behind cellular regulatory processes and to decipher metabolic …
chemical footprints behind cellular regulatory processes and to decipher metabolic …
Quantifying and characterizing proanthocyanidins in cranberries in relation to urinary tract health
CG Krueger, JD Reed, RP Feliciano… - Analytical and …, 2013 - Springer
The “A-type” proanthocyanidins in cranberry fruit (Vaccinium macrocarpon Ait.) are bioactive
components associated with prevention of urinary tract infections (UTI). Cranberry juice, fruit …
components associated with prevention of urinary tract infections (UTI). Cranberry juice, fruit …
The Kumaraswamy generalized gamma distribution with application in survival analysis
MAR De Pascoa, EMM Ortega, GM Cordeiro - Statistical methodology, 2011 - Elsevier
We introduce and study the so-called Kumaraswamy generalized gamma distribution that is
capable of modeling bathtub-shaped hazard rate functions. The beauty and importance of …
capable of modeling bathtub-shaped hazard rate functions. The beauty and importance of …
Serum glycan signatures of gastric cancer
Glycomics, a comprehensive study of glycans expressed in biologic systems, is emerging as
a simple yet highly sensitive diagnostic tool for disease onset and progression. This study …
a simple yet highly sensitive diagnostic tool for disease onset and progression. This study …
Methods to determine effects of cranberry proanthocyanidins on extraintestinal infections: Relevance for urinary tract health
RP Feliciano, CG Krueger… - Molecular nutrition & food …, 2015 - Wiley Online Library
Urinary tract infections (UTI) are one of the most frequent extraintestinal infections caused by
Escherichia coli (ExPEC). Cranberry juice has been used for decades to alleviate symptoms …
Escherichia coli (ExPEC). Cranberry juice has been used for decades to alleviate symptoms …
The heteroscedastic odd log-logistic generalized gamma regression model for censored data
F Prataviera, EMM Ortega, GM Cordeiro… - … in Statistics-Simulation …, 2019 - Taylor & Francis
We propose a four-parameter extended generalized gamma model, which includes as
special cases some important distributions and it is very useful for modeling lifetime data. A …
special cases some important distributions and it is very useful for modeling lifetime data. A …
A general-purpose baseline estimation algorithm for spectroscopic data
DA Barkauskas, DM Rocke - Analytica chimica acta, 2010 - Elsevier
A common feature of many modern technologies used in proteomics–including nuclear
magnetic resonance imaging and mass spectrometry–is the generation of large amounts of …
magnetic resonance imaging and mass spectrometry–is the generation of large amounts of …
Robust estimators of the generalized log-gamma distribution
C Agostinelli, A Marazzi, VJ Yohai - Technometrics, 2014 - Taylor & Francis
We propose robust estimators of the generalized log-gamma distribution and, more
generally, of location-shape-scale families of distributions. A (weighted) Qτ estimator …
generally, of location-shape-scale families of distributions. A (weighted) Qτ estimator …
The Kummer beta generalized gamma distribution
A new extension of the generalized gamma distribution with six-parameter called the
Kummer beta generalized gamma distribution is introduced and studied. It contains at least …
Kummer beta generalized gamma distribution is introduced and studied. It contains at least …
[HTML][HTML] Uncovering a generalised gamma distribution: from shape to interpretation
In this paper, we introduce the flexible interpretable gamma (FIG) distribution, with origins in
Weibulisation, power weighting, and a stochastic representation. The FIG parameters have …
Weibulisation, power weighting, and a stochastic representation. The FIG parameters have …