Results 91 to 100 of about 15,569,368 (309)
Mixture-model-based CE states provide better interpretation of CE activity.
A) H3K27Ac ChIP-seq signals at active CEs predicted by different methods: only mixture model identified (orange), only peak calling identified (blue), and by both mixture model and peak calling (grey). Percentages of data points for each group are shown.
Timothy I. Shaw (11127812) +9 more
core +1 more source
Perfect posterior simulation for mixture and hidden Markov models [PDF]
, 2010 In this paper we present an application of the read-once coupling from the past algorithm to problems in Bayesian inference for latent statistical models.
Berthelsen, Kasper Klitgaard +6 more
core +1 more source
Stochastic characterization of navigation strategies in an automated variant of the Barnes maze
eLifeAnimals can use a repertoire of strategies to navigate in an environment, and it remains an intriguing question how these strategies are selected based on the nature and familiarity of environments.
Ju-Young Lee +2 more
doaj +1 more source
Unifying Epidemic Models With Mixtures
IEEE Transactions on Signal and Information Processing over NetworksThe COVID-19 pandemic has emphasized the need for a robust understanding of epidemic models. Current models of epidemics are classified as either mechanistic or non-mechanistic: mechanistic models make explicit assumptions on the dynamics of disease, whereas non-mechanistic models make assumptions on the form of observed time series. Here, we introduce
Arnab Sarker +2 more
openaire +2 more sources
Degradation mechanism of the von Willebrand factor A2 domain by nattokinase
FEBS Letters, EarlyView.Nattokinase, a natto‐derived protease, exhibits potent antithrombotic effects. This study demonstrates that nattokinase directly cleaves the von Willebrand factor (vWF) A2 domain in vitro. Unlike the native regulator ADAMTS13, nattokinase degrades folded vWF independently of shear stress.
Ryuichi Hyakumoto +3 more
wiley +1 more source
Sampling the Dirichlet Mixture Model with Slices [PDF]
We provide a new approach to the sampling of the well known mixture of Dirichlet process model. Recent attention has focused on retention of the random distribution function in the model, but sampling algorithms have then suffered from the countably ...
Stephen G. Walker
core
FEBS Letters, EarlyView.We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace +6 more
wiley +1 more source
Asymmetric multivariate normal mixture GARCH [PDF]
, 2008 An asymmetric multivariate generalization of the recently proposed class of normal mixture GARCH models is developed. Issues of parametrization and estimation are discussed.
Mittnik, Stefan +2 more
core
The Search Problem in Mixture Models
J. Mach. Learn. Res., 2016 We consider the task of learning the parameters of a {\em single} component of a mixture model, for the case when we are given {\em side information} about that component, we call this the "search problem" in mixture models. We would like to solve this with computational and sample complexity lower than solving the overall original problem, where one ...
Avik Ray +3 more
openaire +5 more sources
FEBS Letters, EarlyView.Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley +1 more source