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1 e force of infection (FOI) between districts, we compared 6 models of population movement (adjacency, gravity, radiation,
3 simulated biomass and in k (severe underestimations by all models except JeDi and VISIT compared to observation-based av
6 ummarize the conceptual foundations of genetic group animal models and provide extensive, step-by-step tutorials that dem
10 PCR) genotyping technology to create scarless isogenic cell models of cancer variants in 1 month.
11 Here, we studied causes of uncertainty among 16 crop models in predicting rice yield in response to elevated [CO2]
12 nd nucleator deficiency, consistent with microscopy-derived models proposing PMS as specialized cortical actin.
14 ics of a broad class of resource-limited community dynamics models, regardless of parameterization and model assumptions.
15 ion hemodynamic trends derived from nonlinear mixed-effects models showed small early favorable changes in the first few
16 We have extended the framework of Nested Effects Models (NEMs), a type of graphical model specifically tailore
19 nnotation with a substantially increased resolution of gene models will not only further our understanding of the biologi
20 To address the issue that deep probabilistic graphical models requires large number of labeled training samples, we
24 Our results suggest that in these inflammatory models, acute administration of peripherally restricted NaV1.
25 equence capacity has been extensively studied using lattice models and theory, numerical estimates for real protein struc
37 e engineering approach to infer data-driven dynamic network models of multi-organ gene regulatory influences.
38 effects of cortistatin in two well-established preclinical models of atherosclerosis, and the molecular and cellular mec
39 nological tools to study anti-ZIKV responses in preclinical models, particularly T cell responses, remain sparse.
40 However, the ictal characteristics of these rat models, including SWDs and associated immobility, are also pr
42 rd ratios (HR) and 95% CIs with multivariate Cox regression models fitting stromal TILs as a continuous variable (per 10%
43 We used Cox proportional hazards regression models to assess the association between later-generation flu
45 rall, larger and deeper perforations were found in the skin models with increasing water content.
46 ly dissect this data requires the development of stochastic models that can both deconvolve the stages of polymerase acti
47 ve, step-by-step tutorials that demonstrate how to fit such models in a variety of software programs.
48 riggering neuroprotective Treg responses in synucleinopathy models, and the combined vaccine is more effective than the h
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