Results 141 to 150 of about 2,449,669 (317)
Estimation of Finite Mixture Models [PDF]
, 2005 A recorded signal frequently results from the mixture of many signals from several classifiable sources. Knowledge of the contribution of the underlying sources to the recorded signal is valuable in several applications, such as remote sensing.
Rouse, David Marshall
core
Combined machine learning approaches to predict the thermal conductivity of liquid mixtures
Science and Technology for Energy TransitionThe application of Machine Learning (ML)-based techniques was explored to create a fully predictive framework for estimating the thermal conductivity of multi-component mixtures containing hydrocarbons and oxygenated compounds.
Le Trung T. +5 more
doaj +1 more source
FEBS Letters, EarlyView.Inositol pyrophosphates are energy‐rich signaling molecules that perform critical functions in cells. Three different families of phosphatases hydrolyze the β phosphate of the inositol pyrophosphate molecules: two have narrow specificities and one is promiscuous.
Ronda J. Rolfes
wiley +1 more source
A note on posterior sampling from Dirichlet mixture models [PDF]
, 2008 In this note we observe that the recent MCMC methods of Papaspiliopoulos & Roberts (2008) and Walker (2007) for Dirichlet mixture models are intrinsically con- nected and can be naturally combined to yield an algorithm which is better (in terms of ...
Papaspiliopoulos, Omiros
core
Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
The Annals of Mathematical Statistics, 1961 The class of mixtures of a one-parameter additively-closed family of distributions is proved identifiable. A condition for a class of scale parameter mixtures to be identifiable is indicated and applications to Type III and uniform distributions are made.
openaire +3 more sources
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
VaR and ES for linear Portfolis with mixture of elliptically distributed Risk Factors. [PDF]
The particular subject of this paper, is to give an explicit formulas that will permit to obtain the linear VaR or Linear ES, when the joint risk factors of the Linear portfolios, changes with mixture of t-Student distributions.
SADEFO KAMDEM Jules
core
FEBS Letters, EarlyView.CT10 regulator of kinase (CRK) and CRK‐Like (CRKL) are signaling adaptors driving cell adhesion, motility, differentiation, and proliferation. SH2‐domain containing (SH) proteins are enriched in YXXP motifs which when phosphorylated create preferred binding sites for CRK family SH2 domains.
Phoebe M. Cousens +8 more
wiley +1 more source
South African medical journal = Suid-Afrikaanse tydskrif vir geneeskunde, 1965 No Abstract.
openaire +2 more sources