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UNIVERSITE

PARIS DESCARTES

MAP5

Pages personnelles

Publications

Peer-reviewed journals

  • Perduca, V., Omichessan, H., Baglietto, L., Severi, G. (2018). Mutational and epigenetic signatures in cancer tissue linked to environmental exposures and lifestyle. Current opinion in oncology, 30(1), 61-67.
  • F. Porta, A. Mussa, G. Baldassarre, V. Perduca, D. Farina, M. Spada, A. Ponzone; Genealogy of breastfeeding. European Journal of Pediatrics (2016) 175(1), 105-112.
  • F. Alarcon, V. Perduca, G. Nuel. Is it possible to detect G-E interactions in GWAS when causal exposure is unobserved? Journal of Epidemiological Research (2015), 2(1), 109.
  • V. Perduca and G. Nuel; Measuring the Influence of Observations in HMMs through the Kullback-Leibler Distance. IEEE Signal Processing Letters 20(2): 145-148 (2013). Preprint arXiv:1210.2613.
  • A. Grassi and V. Perduca; Weierstrass Models of Elliptic Toric K3 Hypersurfaces and Symplectic Cuts; Advances in Theoretical and Mathematical Physics, Volume 17 (2013), Issue 4. Preprint arXiv:1201.0930.
  • V. Perduca, C. Sinoquet, R. Mourad and G. Nuel; Alternative methods for H1 simulations in Genome Wide Association Studies. Hum Hered, 2012;73:95-104. Free Access.

Peer-reviewed conference proceedings

  • V. Perduca, G. Nuel; Application of Belief Propagation to Genome-Wide Association Studies. 8ème Journèes Francophones sur les Réseaux Bayésiens et les Modèles Graphiques Probabilistes (JFRB), Clermont-Ferrand, 2016.
  • T. Mary-Huard, V. Perduca, M.L. Martin-Magniette, G. Blanchard; Error rate control for classification rules in multi-class mixture models. Journées de Statistique de la Societé Française de Statistique} (JDS), Toulouse, 2013.
  • V. Perduca and G. Nuel; Detecting Outliers in HMMs through Relative Entropy with Applications to Change-Point Detection. Journées Ouvertes en Biologie, Informatiques et Mathématiques (JOBIM) 2012.
  • V. Perduca, C. Sinoquet, R. Mourad and G. Nuel; Waffect: a Method to Simulate Case-Control Samples in Genome-Wide Association Studies. Journées Ouvertes en Biologie, Informatiques et Mathématiques (JOBIM) 2011: 61-67.
  • V. Perduca, C. Sinoquet, R. Mourad and G. Nuel; Waffect: a Method to Simulate Case-Control Samples in Genome-Wide Association Studies (short version). Journées de Statistiques de la Societée Française de Statistique (JDS) 2011: May 26, 127-132.
  • S. Roy, V. Perduca and V. Tannen; Faster Query Answering in Probabilistic Databases using Read-Once Functions. International Conference on Database Theory (ICDT) 2011: 232-243. arXiv:1012.0335.
  • M. Marchisio and Vittorio Perduca; On Some Explicit Semi-Stable Degenerations of Toric Varieties. Rendiconti del Circolo Matematico di Palermo - Serie II, Suppl. 81 (2009), pp. 261-272. arXiv:0712.3392v2.

Abstracts in other conferences

  • V. Perduca, G. Nuel; A New Versatile Statistic for Genome-Wide Association Studies. International Biometric Conference (IBC), Victoria (Canada), 2016.
  • V. Perduca, G. Nuel ; A (New) Versatile Statistic for Genome-Wide Association Studies. 44th European Mathematical Genetics Meeting (EMGM), Newcastle (UK), 2016.
  • F. Reis, P. Ferreira, V. Perduca ; The use of web activity evidence to increase the timeliness of official statistics indicators. International Association for Official Statistics Conference (IAOS), Da Nang (Viet Nam), 2014.
  • V. Perduca, G. Nuel; Power Analysis of Genome Wide Association Studies Based on Simulations of Phenotypes. Abstracts for the XXVIth International Biometric Conference, 26-31 August, 2012, Kobe, Japan.
  • V. Perduca, G. Nuel; Detecting Outliers in Hidden Markov Models through Relative Entropy : Applications to Change-Point Detection. Abstracts for the XXVIth International Bio- metric Conference, 26-31 August, 2012, Kobe, Japan.
  • V. Perduca, G. Nuel; Simulation of phenotypes under H1 in Genome Wide Association studies and applications. Statistical Methods for Post Genomic Data (SMPGD) 2012, Lyon.
  • V. Perduca, G. Nuel ; Waffect : a Method to Simulate Case-Control Samples in Genome- Wide Association Studies, Paris Workshop on Genomic Epidemiology, 2011, Paris.

Notes

  • The Minh Luong, V. Perduca, G. Nuel ; Hidden Markov Model Applications in Change- Point Analysis. Preprint arXiv:1212.1778.
  • M. Marchisio and V. Perduca; On some properties of explicit toric degenerations. Bollettino U.M.I. (8) 9-B (2006), 779-784.

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