Results 131 to 140 of about 174,276,385 (305)
The time series of weekly rainfall, minimum temperature, DBSI, local dengue and imported dengue counts from 2011–2014 in Guangzhou.
Shannon Rutherford (279833) +13 more
core +1 more source
Molecular characterization of covRS mutations in M1UK Streptococcus pyogenes
Group A Streptococcus (GAS) acquires covRS mutations driving a hypervirulent bacterial state, frequently associated with invasive disease‐like necrotizing fasciitis. We demonstrate that the newly emerged M1UK GAS lineage can also acquire these mutations.
Jarrad Pritchard +12 more
wiley +1 more source
Compilation of open access time-series datasets for studying temperature-mortality association
In this article, we present a comprehensive compilation of open access daily time-series datasets tailored to assess the temperature-mortality association.
Aurelio Tobias +4 more
doaj +1 more source
MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss +7 more
wiley +1 more source
Malformin A1–mediated cytotoxicity in ovarian cancer cells occurs through pyroptosis and autophagy
This study investigated the effects of the natural compound Malformin A1 (MA1) on the cytoskeleton that regulates cell proliferation and migration. Disruption of the cytoskeleton can impair these processes and promote cancer cell death. MA1 disrupted cytoskeletal organization, induced DNA damage, inflammation, activated autophagy, and pyroptosis ...
Nada Abdullah Hassan +11 more
wiley +1 more source
Time Series of Count Data: Modelling and Estimation [PDF]
This paper compares various models for time series of counts which can account for discreetness, overdispersion and serial correlation. Besides observation- and parameter-driven models based upon corresponding conditional Poisson distributions, we also ...
Jung, Robert +2 more
core
A Time-Series Model for Underdispersed or Overdispersed Counts
It is common for time series of unbounded counts (that is, nonnegative integers) to display overdispersion relative to the Poisson. Such an overdispersed series can be modeled by a hidden Markov model with Poisson state-dependent distributions (a ...
Feroz Bhamani (5636738) +1 more
core +1 more source
Observation-driven regression models for time series of counts
There are many situations in practice where one may encounter time series of counts. For example, one may require to analyse a time series of number of tourists or time series of number of patients for a particular disease mainly for the purpose of ...
Mallick, Taslim S.
core +1 more source
Protocol for quantifying miRNA trafficking across the endosomal membrane
An in vitro protocol measures miRNA uptake into endosomes isolated from mammalian cell extracts, which are free of subcellular contaminants. Performed at 37 °C in the presence of ATP, it ensures the import of single‐stranded miRNA into the endosomal lumen.
Syamantak Ghosh +2 more
wiley +1 more source
Predicting Bid-Ask Spreads Using Long Memory Autoregressive Conditional Poisson Models [PDF]
We introduce a long memory autoregressive conditional Poisson (LMACP) model to model highly persistent time series of counts. The model is applied to forecast quoted bid-ask spreads, a key parameter in stock trading operations. It is shown that the LMACP
Axel Groß-Klußmann, Nikolaus Hautsch
core

