Results 51 to 60 of about 25,511,154 (361)
Multivariate Analysis Applications in X-ray Diffraction
Crystals, 2020 Multivariate analysis (MA) is becoming a fundamental tool for processing in an efficient way the large amount of data collected in X-ray diffraction experiments. Multi-wedge data collections can increase the data quality in case of tiny protein crystals;
Pietro Guccione +3 more
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Detecting confounding in multivariate linear models via spectral analysis
, 2017 We study a model where one target variable Y is correlated with a vector X:=(X_1,...,X_d) of predictor variables being potential causes of Y. We describe a method that infers to what extent the statistical dependences between X and Y are due to the ...
Janzing, Dominik, Schoelkopf, Bernhard
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A spatial analysis of multivariate output from regional climate models [PDF]
, 2011 Climate models have become an important tool in the study of climate and climate change, and ensemble experiments consisting of multiple climate-model runs are used in studying and quantifying the uncertainty in climate-model output.
Cressie, Noel +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Neuroblastoma (NB) with central nervous system (CNS) metastases is rare at diagnosis, but occurs more often during relapse/progression. Patients with CNS metastases face a dismal prognosis, with no standardized curative treatment available.
Vicente Santa‐Maria Lopez +13 more
wiley +1 more source
Discriminant analysis of multivariate spatial regressions
Lietuvos Matematikos Rinkinys, 2001 There is not abstract.
Kęstutis Dučinskas, Jūratė Šaltytė
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BMC Medical Research Methodology, 2021 Background Longitudinal assessments of usage are often conducted for multiple substances (e.g., cigarettes, alcohol and marijuana) and research interests are often focused on the inter-substance association.
Xiaolei Lin +2 more
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Multivariate meta-analysis of QTL mapping studies [PDF]
, 2009 A large number of quantitative trait loci (QTLs) for milk production and quality traits in dairy cattle has been reported in literature. The large amount of information available could be exploited by meta-analyses to draw more general conclusions from
Gaspa, Giustino +5 more
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Objective Bayesian analysis for the multivariate skew-t model
, 2017 We perform a Bayesian analysis of the p-variate skew-t model, providing a new parameterization, a set of non-informative priors and a sampler specifically designed to explore the posterior density of the model parameters.
Liseo, Brunero, Parisi, Antonio
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Molecular Oncology, EarlyView.Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice +16 more
wiley +1 more source
Учёные записки Казанского университета: Серия Естественные науки, 2017 The study is extremely relevant, because most people in Russia (over 73%) live in urban environments, which are significantly influenced by various pollutants. According to N.S. Kasimov et al.
V.I. Radomskaya +4 more
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