Results 101 to 110 of about 23,664,335 (320)
PeerJ, 2015 Overdispersion is a common feature of models of biological data, but researchers often fail to model the excess variation driving the overdispersion, resulting in biased parameter estimates and standard errors.
X. Harrison
semanticscholar +1 more source
Molecular Oncology, EarlyView.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
East Java Online Transactions: Demand Side Analysis
JDE (Journal of Developing Economies), 2019 Despite the study of rapid growth of online-based transactions in East Java over the past few years, little is focused on the demand side in which consumer characteristics are crucial in this event. This study aims to analyze the relationship of consumer
Riska Dwi Astuti, Nadia Fazira
doaj +1 more source
Parsimoniously Fitting Large Multivariate Random Effects in glmmTMB [PDF]
Journal of Statistical SoftwareMultivariate random effects with unstructured variance-covariance matrices of large dimensions, $q$, can be a major challenge to estimate. In this paper, we introduce a new implementation of a reduced-rank approach to fit large dimensional multivariate ...
Maeve McGillycuddy +3 more
semanticscholar +1 more source
Molecular Oncology, EarlyView.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
Driving Markov chain Monte Carlo with a dependent random stream [PDF]
, 2012 Markov chain Monte Carlo is a widely-used technique for generating a dependent sequence of samples from complex distributions. Conventionally, these methods require a source of independent random variates.
Elliott, Lloyd T., Murray, Iain
core
Singular Spectrum and Recent Results on Hierarchical Operators
, 2018 We use trace class scattering theory to exclude the possibility of absolutely continuous spectrum in a large class of self-adjoint operators with an underlying hierarchical structure and provide applications to certain random hierarchical operators and ...
von Soosten, Per, Warzel, Simone
core +1 more source
Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers
Molecular Oncology, EarlyView.This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel +6 more
wiley +1 more source
Potts model on complex networks
, 2003 We consider the general p-state Potts model on random networks with a given degree distribution (random Bethe lattices). We find the effect of the suppression of a first order phase transition in this model when the degree distribution of the network is ...
Dorogovtsev, S. N. +2 more
core +1 more source
Academic Emergency Medicine, 2015 Objectives The objective was to examine the relationship between laboratory testing (including test volume and turnaround time [TAT]) and emergency department (ED) length of stay (LOS), using linked patient‐level data from four hospitals across 4 years ...
Ling Li +6 more
semanticscholar +1 more source