Veronica Vinciotti

Summary

Affiliation: Brunel University
Country: UK

Publications

  1. ncbi request reprint An experimental evaluation of a loop versus a reference design for two-channel microarrays
    V Vinciotti
    Department of Information Systems and Computing, Brunel University Uxbridge UB8 3PH, UK
    Bioinformatics 21:492-501. 2005
  2. doi request reprint M-quantile regression analysis of temporal gene expression data
    Veronica Vinciotti
    Brunel University
    Stat Appl Genet Mol Biol 8:Article 41. 2009
  3. ncbi request reprint Robust Selection of Predictive Genes via a Simple Classifier
    Veronica Vinciotti
    School of Information Systems, Computing and Mathematics, Brunel University, Uxbridge, UK
    Appl Bioinformatics 5:1-11. 2006
  4. pmc Exploiting the full power of temporal gene expression profiling through a new statistical test: application to the analysis of muscular dystrophy data
    Veronica Vinciotti
    Department of Information Systems and Computing, Brunel University, Uxbridge UB8 3PH, UK
    BMC Bioinformatics 7:183. 2006
  5. ncbi request reprint An extended Kalman filtering approach to modeling nonlinear dynamic gene regulatory networks via short gene expression time series
    Zidong Wang
    Department of Information Systems and Computing, Brunel University, Uxbridge, Middlesex UB83PH, UK
    IEEE/ACM Trans Comput Biol Bioinform 6:410-9. 2009
  6. ncbi request reprint A spatio-temporal Bayesian network classifier for understanding visual field deterioration
    Allan Tucker
    Department of Information Systems and Computing, Brunel University, Uxbridge, Middlesex UB8 3PH, UK
    Artif Intell Med 34:163-77. 2005
  7. pmc Consensus clustering and functional interpretation of gene-expression data
    Stephen Swift
    Department of Information Systems and Computing, Brunel University, Uxbridge UB8 3PH, UK
    Genome Biol 5:R94. 2004
  8. pmc The consequences of feminization in breeding groups of wild fish
    Catherine A Harris
    Institute for the Environment, Brunel University, Uxbridge, United Kingdom
    Environ Health Perspect 119:306-11. 2011
  9. doi request reprint Joint modeling of ChIP-seq data via a Markov random field model
    Yanchun Bao
    School of Information Systems, Computing and Mathematics, Brunel University, London UB8 3PH, UK
    Biostatistics 15:296-310. 2014
  10. pmc Accounting for immunoprecipitation efficiencies in the statistical analysis of ChIP-seq data
    Yanchun Bao
    School of Information Systems, Computing and Mathematics, Brunel University, London, UK
    BMC Bioinformatics 14:169. 2013

Detail Information

Publications10

  1. ncbi request reprint An experimental evaluation of a loop versus a reference design for two-channel microarrays
    V Vinciotti
    Department of Information Systems and Computing, Brunel University Uxbridge UB8 3PH, UK
    Bioinformatics 21:492-501. 2005
    ..In each case, both a loop and a reference design were used with the same RNA preparations with the aim of studying their relative efficiency...
  2. doi request reprint M-quantile regression analysis of temporal gene expression data
    Veronica Vinciotti
    Brunel University
    Stat Appl Genet Mol Biol 8:Article 41. 2009
    ..We conclude by applying the method to detect differentially expressed genes from time-course microarray data on muscular dystrophy...
  3. ncbi request reprint Robust Selection of Predictive Genes via a Simple Classifier
    Veronica Vinciotti
    School of Information Systems, Computing and Mathematics, Brunel University, Uxbridge, UK
    Appl Bioinformatics 5:1-11. 2006
    ..The method has been shown to be capable of selecting genes known to be associated with prostate cancer and viral infections...
  4. pmc Exploiting the full power of temporal gene expression profiling through a new statistical test: application to the analysis of muscular dystrophy data
    Veronica Vinciotti
    Department of Information Systems and Computing, Brunel University, Uxbridge UB8 3PH, UK
    BMC Bioinformatics 7:183. 2006
    ..A Hotelling T2-statistic is derived to detect the genes for which the parameters of these polynomials are significantly different from each other...
  5. ncbi request reprint An extended Kalman filtering approach to modeling nonlinear dynamic gene regulatory networks via short gene expression time series
    Zidong Wang
    Department of Information Systems and Computing, Brunel University, Uxbridge, Middlesex UB83PH, UK
    IEEE/ACM Trans Comput Biol Bioinform 6:410-9. 2009
    ..Four real-world gene expression data sets are employed to demonstrate the effectiveness of the EKF algorithm, and the obtained models are evaluated from the viewpoint of bioinformatics...
  6. ncbi request reprint A spatio-temporal Bayesian network classifier for understanding visual field deterioration
    Allan Tucker
    Department of Information Systems and Computing, Brunel University, Uxbridge, Middlesex UB8 3PH, UK
    Artif Intell Med 34:163-77. 2005
    ..In this paper we introduce a novel method for classifying visual field (VF) data that explicitly models these spatial and temporal relationships...
  7. pmc Consensus clustering and functional interpretation of gene-expression data
    Stephen Swift
    Department of Information Systems and Computing, Brunel University, Uxbridge UB8 3PH, UK
    Genome Biol 5:R94. 2004
    ..When coupled with a statistically based gene functional analysis, our method allowed the identification of novel genes regulated by NFkappaB and the unfolded protein response in certain B-cell lymphomas...
  8. pmc The consequences of feminization in breeding groups of wild fish
    Catherine A Harris
    Institute for the Environment, Brunel University, Uxbridge, United Kingdom
    Environ Health Perspect 119:306-11. 2011
    ..There is widespread concern that intersex fish are reproductively compromised, with potential population-level consequences. However, to date, only in vitro sperm quality data are available in support of this hypothesis...
  9. doi request reprint Joint modeling of ChIP-seq data via a Markov random field model
    Yanchun Bao
    School of Information Systems, Computing and Mathematics, Brunel University, London UB8 3PH, UK
    Biostatistics 15:296-310. 2014
    ..Finally, we present an analysis on real data for the detection of histone modifications of two chromatin modifiers from eight ChIP-seq experiments, including technical replicates with different IP efficiencies. ..
  10. pmc Accounting for immunoprecipitation efficiencies in the statistical analysis of ChIP-seq data
    Yanchun Bao
    School of Information Systems, Computing and Mathematics, Brunel University, London, UK
    BMC Bioinformatics 14:169. 2013
    ..In this paper, we show how IP efficiencies can be explicitly accounted for in the joint statistical modelling of ChIP-seq data...