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Consulteu Publicacions de Projectes de recerca del Plan Nacional per autor "Universitat de Vic. Grup de Recerca en Bioinformàtica i Estadística Mèdica"

Consulteu Publicacions de Projectes de recerca del Plan Nacional per autor "Universitat de Vic. Grup de Recerca en Bioinformàtica i Estadística Mèdica"

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  • A dynamic model for the risk of bladder cancer progression
    Porta, Núria; Calle, M. Luz; Malats i Riera, Núria; Gómez, Guadalupe (Wiley, 2012)
    We propose a multistate modeling approach to describe the observed evolution of patients diagnosed with nonmuscle- invasive bladder cancer. On the basis of data from the Spanish Bladder Cancer/EPICURO study, we adjust a ...
  • Application of Multi-SNP Approaches Bayesian LASSO and AUC-RF to Detect Main Effects of Inflammatory-Gene Variants Associated with Bladder Cancer Risk
    López de Maturana, Evangelina; Ye, Yuanging; Calle, M. Luz; Rothman, Nathaniel; Urrea Gales, Víctor; Kogevinas, Manolis; Petrus, Sandra; Chanock, Stephen; Tardón, Adonina; García-Closas, Montserrat; González-Neira, Anna; Vellalta, Gemma; Carrato, Alfredo; Navarro, Arcadi; Lorente-Galdós, Belén; Silverman, Debra T.; Real, Francisco X.; Wu, Xifeng; Malats i Riera, Núria (Public Library of Science, 2013)
    The relationship between inflammation and cancer is well established in several tumor types, including bladder cancer. We performed an association study between 886 inflammatory-gene variants and bladder cancer risk in ...
  • AUC-RF: A New Strategy for Genomic Profiling with Random Forest
    Calle, M. Luz; Urrea Gales, Víctor; Boulesteix, Anne-Laure; Malats i Riera, Núria (Karger, 2011)
    Objective: Genomic profiling, the use of genetic variants at multiple loci simultaneously for the prediction of disease risk, requires the selection of a set of genetic variants that best predicts disease status. The ...
  • An efficient algorithm to perform multiple testing in epistasis screening
    Van Lishout, François; Mahachie John, Jestinah M.; Gusareva, Elena S.; Urrea Gales, Víctor; Cleynen, Isabelle; Théâtre, Emilie; Charloteaux, Benoït; Calle, M. Luz; Wehenkel, Louis; Van Steen, Kristel (Biomed Central, 2013)
    Background: Research in epistasis or gene-gene interaction detection for human complex traits has grown over the last few years. It has been marked by promising methodological developments, improved translation efforts ...
  • Global adaptive rank truncated product method for gene-set analysis in association studies
    Vilor Tejedor, Natàlia; Calle, M. Luz (Wiley, 2014)
    Gene set analysis (GSA) aims to assess the overall association of a set of genetic variants with a phenotype and has the potential to detect subtle effects of variants in a gene or a pathway that might be missed when ...
  • mbmdr: an R package for exploring gene–gene interactions associated with binary or quantitative traits
    Calle, M. Luz; Urrea Gales, Víctor; Malats i Riera, Núria; Van Steen, Kristel (Oxford University Press, 2010)
    Summary: We describe mbmdr, an R package for implementing the model-based multifactor dimensionality reduction (MB-MDR) method. MB-MDR has been proposed by Calle et al. as a dimension reduction method for exploring ...
  • Model-Based Multifactor Dimensionality Reduction for detecting epistasis in case–control data in the presence of noise
    Cattaert, Tom; Calle, M. Luz; Dudek, Scott M.; Mahachie John, Jestinah M.; Van Lishout, François; Urrea Gales, Víctor; Ritchie, Marylyn D.; Van Steen, Kristel (Blackwell, 2011)
    Analyzing the combined effects of genes and/or environmental factors on the development of complex diseases is a great challenge from both the statistical and computational perspective, even using a relatively small number ...

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