Results 81 to 90 of about 66,786 (305)

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

open access: yesAdvanced Intelligent Discovery, EarlyView.
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong   +5 more
wiley   +1 more source

Linking community structure and climate vulnerability in desert plant assemblages of southern California

open access: yesAmerican Journal of Botany, EarlyView.
Abstract Premise Desert plant assemblages in southern California provide an opportunity to link patterns of community structure with climate‐driven vulnerability in a rapidly changing environment. California sustains an exceptionally diverse flora of approximately 4300 plant species, with 31% identified as endemic.
Hector Zumbado‐Ulate   +4 more
wiley   +1 more source

Alzheimer's Disease Co‐Pathology and Cognitive Impairment in Amyotrophic Lateral Sclerosis

open access: yesAnnals of Neurology, EarlyView.
Objectives Amyotrophic lateral sclerosis (ALS) and Alzheimer's disease (AD) share neuropathological features, including tau, amyloid, and TDP‐43 pathology. This study investigated whether AD‐related pathological changes are associated with cognitive impairment ALS. Methods Cerebrospinal fluid (CSF total‐tau, phosphorylated‐tau, beta‐amyloid) and plasma
Elisabeth Kasper   +29 more
wiley   +1 more source

Computational Methods for Complex Stochastic Systems: A Review of Some Alternatives to MCMC. [PDF]

open access: yes, 2008
We consider analysis of complex stochastic models based upon partial information. MCMC and reversible jump MCMC are often the methods of choice for such problems, but in some situations they can be difficult to implement; and suffer from problems such as
Fearnhead, Paul, Paul Fearnhead
core   +1 more source

Pregnancy‐related effect on elexacaftor, tezacaftor and ivacaftor pharmacokinetics in women with cystic fibrosis

open access: yesBritish Journal of Clinical Pharmacology, EarlyView.
Aim The number of pregnancies among women with cystic fibrosis (wwCF) has steadily increased over the past decade. However, the pharmacokinetics (PK) of elexacaftor–tezacaftor–ivacaftor (ETI) during gestation remains uncharacterized, despite its widespread use in this population.
Paulette Magnas   +16 more
wiley   +1 more source

Parameter estimation for X-ray scattering analysis with Hamiltonian Markov Chain Monte Carlo

open access: yesJournal of Synchrotron Radiation, 2022
Bayesian-inference-based approaches, in particular the random-walk Markov Chain Monte Carlo (MCMC) method, have received much attention recently for X-ray scattering analysis.
Zhang Jiang   +4 more
doaj   +1 more source

Changing patterns of colonisation and persistence during the wolf recolonisation of the human‐dominated Italian alpine region

open access: yesEcography, EarlyView.
Dynamic occupancy models are fundamental for understanding complex species recolonisation processes, as they allow the assessment of both colonisation and persistence probabilities over time. Using a dynamic occupancy model and a large‐scale multi‐year dataset on wolf presence collected in the Italian alpine region between 2014 and 2020, we analysed ...
M. V. Boiani   +21 more
wiley   +1 more source

Bandwidth Selection for Multivariate Kernel Density Estimation Using MCMC [PDF]

open access: yes
We provide Markov chain Monte Carlo (MCMC) algorithms for computing the bandwidth matrix for multivariate kernel density estimation. Our approach is based on treating the elements of the bandwidth matrix as parameters to be estimated, which we do by ...
Rob J. Hyndman   +2 more
core   +2 more sources

sgmcmc: An R Package for Stochastic Gradient Markov Chain Monte Carlo

open access: yesJournal of Statistical Software, 2019
This paper introduces the R package sgmcmc; which can be used for Bayesian inference on problems with large data sets using stochastic gradient Markov chain Monte Carlo (SGMCMC).
Jack Baker   +3 more
doaj   +1 more source

Legacy effects of redlining on the distribution of greenspaces in US cities

open access: yesFrontiers in Ecology and the Environment, EarlyView.
We investigated how a discriminatory housing policy—redlining—has shaped the spatial patterns and configurations of greenspaces throughout 177 cities in the contiguous US. Housing segregation has been a long‐term development practice that has sequestered communities of color to areas with elevated environmental and public health risks.
Travis Gallo   +4 more
wiley   +1 more source

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