Search Results - "De Iorio, Maria"

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    Bayesian deconvolution and quantification of metabolites in complex 1D NMR spectra using BATMAN by Hao, Jie, Liebeke, Manuel, Astle, William, De Iorio, Maria, Bundy, Jacob G, Ebbels, Timothy M D

    Published in Nature protocols (01-06-2014)
    “…BATMAN is an R package developed to analyze one-dimensional NMR spectra of complex metabolite mixtures using a user-defined template library. Data processing…”
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    Significance testing in ridge regression for genetic data by Cule, Erika, Vineis, Paolo, De Iorio, Maria

    Published in BMC bioinformatics (19-09-2011)
    “…Technological developments have increased the feasibility of large scale genetic association studies. Densely typed genetic markers are obtained using SNP…”
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    Automated image analysis to assess hygienic behaviour of honeybees by Paolillo, Gianluigi, Petrini, Alessandro, Casiraghi, Elena, De Iorio, Maria Grazia, Biffani, Stefano, Pagnacco, Giulio, Minozzi, Giulietta, Valentini, Giorgio

    Published in PloS one (27-01-2022)
    “…Focus of this study is to design an automated image processing pipeline for handling uncontrolled acquisition conditions of images acquired in the field. The…”
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    Review and evaluation of penalised regression methods for risk prediction in low-dimensional data with few events by Pavlou, Menelaos, Ambler, Gareth, Seaman, Shaun, De Iorio, Maria, Omar, Rumana Z

    Published in Statistics in medicine (30-03-2016)
    “…Risk prediction models are used to predict a clinical outcome for patients using a set of predictors. We focus on predicting low‐dimensional binary outcomes…”
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    Genetic association mapping via evolution-based clustering of haplotypes by Tachmazidou, Ioanna, Verzilli, Claudio J, De Iorio, Maria

    Published in PLoS genetics (01-07-2007)
    “…Multilocus analysis of single nucleotide polymorphism haplotypes is a promising approach to dissecting the genetic basis of complex diseases. We propose a…”
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    The multivariate Bernoulli detector: change point estimation in discrete survival analysis by van den Boom, Willem, De Iorio, Maria, Qian, Fang, Guglielmi, Alessandra

    Published in Biometrics (01-07-2024)
    “…Time-to-event data are often recorded on a discrete scale with multiple, competing risks as potential causes for the event. In this context, application of…”
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    Bayesian splines versus fractional polynomials in network meta-analysis by Heinecke, Andreas, Tallarita, Marta, De Iorio, Maria

    Published in BMC medical research methodology (20-10-2020)
    “…Network meta-analysis (NMA) provides a powerful tool for the simultaneous evaluation of multiple treatments by combining evidence from different studies,…”
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    BATMAN—an R package for the automated quantification of metabolites from nuclear magnetic resonance spectra using a Bayesian model by JIE HAO, ASTLE, William, DE LORIO, Maria, EBBELS, Timothy M. D

    Published in Bioinformatics (01-08-2012)
    “…Nuclear Magnetic Resonance (NMR) spectra are widely used in metabolomics to obtain metabolite profiles in complex biological mixtures. Common methods used to…”
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    Human metabolic phenotype diversity and its association with diet and blood pressure by Holmes, Elaine, Daviglus, Martha L, De Iorio, Maria, Chan, Queenie, Loo, Ruey Leng, Bictash, Magda, Yap, Ivan K. S, Veselkov, Kirill A, Kesteloot, Hugo, Ueshima, Hirotsugu, Brown, Ian J, Nicholson, Jeremy K, Ebbels, Tim, Elliott, Paul, Stamler, Jeremiah, Zhao, Liancheng

    Published in Nature (15-05-2008)
    “…Metabolic phenotypes are the products of interactions among a variety of factors-dietary, other lifestyle/environmental, gut microbial and genetic. We use a…”
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    Bayesian inference on the number of recurrent events: A joint model of recurrence and survival by van den Boom, Willem, De Iorio, Maria, Tallarita, Marta

    Published in Statistical methods in medical research (01-01-2022)
    “…The number of recurrent events before a terminating event is often of interest. For instance, death terminates an individual’s process of rehospitalizations…”
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    Monte Carlo co-ordinate ascent variational inference by Ye, Lifeng, Beskos, Alexandros, De Iorio, Maria, Hao, Jie

    Published in Statistics and computing (01-07-2020)
    “…In variational inference (VI), coordinate-ascent and gradient-based approaches are two major types of algorithms for approximating difficult-to-compute…”
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    Unbiased approximation of posteriors via coupled particle Markov chain Monte Carlo by van den Boom, Willem, Jasra, Ajay, De Iorio, Maria, Beskos, Alexandros, Eriksson, Johan G.

    Published in Statistics and computing (01-06-2022)
    “…Markov chain Monte Carlo (MCMC) is a powerful methodology for the approximation of posterior distributions. However, the iterative nature of MCMC does not…”
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    Bayesian Model of NMR Spectra for the Deconvolution and Quantification of Metabolites in Complex Biological Mixtures by Astle, William, De Iorio, Maria, Richardson, Sylvia, Stephens, David, Ebbels, Timothy

    “…Nuclear magnetic resonance (NMR) spectra are widely used in metabolomics to obtain profiles of metabolites dissolved in biofluids such as cell supernatants…”
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    Simultaneous analysis of all SNPs in genome-wide and re-sequencing association studies by Hoggart, Clive J, Whittaker, John C, De Iorio, Maria, Balding, David J

    Published in PLoS genetics (01-07-2008)
    “…Testing one SNP at a time does not fully realise the potential of genome-wide association studies to identify multiple causal variants, which is a plausible…”
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    Variable selection in covariate dependent random partition models: an application to urinary tract infection by Barcella, William, Iorio, Maria De, Baio, Gianluca, Malone-Lee, James

    Published in Statistics in medicine (15-04-2016)
    “…Lower urinary tract symptoms can indicate the presence of urinary tract infection (UTI), a condition that if it becomes chronic requires expensive and time…”
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    Modelling correlated binary variables: an application to lower urinary tract symptoms by Barcella, William, De Iorio, Maria, Malone-Lee, James

    “…We present a semiparametric model for time evolving vectors of correlated binary variables. We introduce continuous latent variables which are discretized to…”
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