Claudia Angelini List of Talks

Talks in Meetings or Conferences

  1. 1. C. Angelini, The importance of being reproducible:.Challenges and Solutions for the analysis of NGS data. Workshop “The importance of being reproducible: a statistical prospective, CUSSB, Università Salute-Vita San Raffaele, Milano, 27/01/2017
  2. 2. C. Angelini, Algorithms, Methods and Computational Tools in Bioinformatics with applications, Conferenza DIITET-CNR, Roma, 23/11/2016.
  3. 3. C. Angelini, An introduction to next generation sequencing for studying omic-environment interactions, SIS meeting 2016, Salerno, 6/06/2016.
  4. 4. C. Angelini, Statistical Issues in the Analysis of ChIP-Seq and RNA-Seq Data and their integration, Annual Epigen Project meeting 2016, Rome, 26/05/2016.
  5. 5. F. Russo, D. Righelli, C. Angelini, The importance of being reproducible: tools and examples using R,XXII Congresso da Sociedade Portuguesa de Estatístic, Ria Formosa.October  7 – 10, 2015.
  6. 6. C. Angelini, Statistical Issues in the Analysis of ChIP-Seq and RNA-Seq Data: novel advancement, Annual Epigen Project meeting 2015, Rome, 23/04/2015.
  7. 7. C. Angelini, D. Righelli, F. Russo Reproducible Research in the era of Next Generation Sequencing: current approaches, examples and future perspectives, Next Generation Sequencing: a look into the future, 16-17 March 2015, Bratislava, Slovakia.
  8. 8. C. Angelini, Models, algorithms and tools for Bioinformatics, Synthetic and System Biology, “Nanotechnologies, Biotechnologies and ICT for Health-care and well-being”, Pisa, 5 Marzo 2015
  9. 9. C Angelini, Developing Computational tools for NGS data analysis in the spirit of Reproducible Research, Translating emerging seq-based technologies into integrated biomedical approaches, Naples, 24/06/2014.
  10. 10. C. Angelini, F. Russo Analyzing RNA-seq data with RNAseqGUI, NGS Data after the Gold Rush, Norwich, UK, 7/05/2014.
  11. 11. C. Angelini, Statistical Issues in the Analysis of ChIP-Seq and RNA-Seq Data,, Annual Epigen Project meeting 2014, Rome, 20/02/2014.
  12. 12. C. Angelini, Data integration and advanced data analysis: the example of ALE-HSA21, Annual InterOmics meeting 2013, Rome, 3/06/2013.
  13. 13. C. Angelini, Computational approaches for Isoforms' detection and estimation: Good and Bad news, Annual Epigen Project meeting 2013, Rome, 15/04/2013.
  14. 14. C. Angelini, Statistical challenges in NGS data analysis, German-Italian Dialogue 2012, Ercolano (NA), 17/07/2012.
  15. 15. C. Angelini, D. De Canditiis, M. Pensky, N. Brownstein, Bayesian models for the analysis of multi-sample time-course microarray experiments, Eight International meeting on Computational Intelligence methods for Bioinformatics and Biostatistics—CIBB 2011, Gargnano – Lago di Garda, 30/06/2011.
  16. 16. C. Angelini, Computational methods for RNA-Seq data analysis, Workshop on NGS (Solid) Data Analysis, organized by IGB-CNR, CNR Area di Ricerca di Napoli, 27/10/2010.
  17. 17. C. Angelini, An overview on time course microarray analysis: from genes detection to clustering, Second Workshop on Bioinformatica, Biostatistica e Machine Learning, Dipartimento di Matematica ed Informatica, Università degli Studi di Salerno, 6/10/2009.
  18. 18. C. Angelini, D. De Canditiis, M. Pensky, Bayesian methods for time course microarray analysis: from genes' detection to clustering, Invited Talk at the Special Session Statistical analysis of high-dimensional gene expression time series, organized by the Royal Statistical Society, within the European Conference on Statistical Methods for Large Data Sets, Pescara (Italy), 23- 25/09/2009.
  19. 19. C. Angelini, Statistical challenges in the analysis of gene-expression profiles, Invited Talk at the Workshop Approcci computazionali alla comprensione dei fenomeni biologici, organized by IGB-CNR and Tigem, CNR, Area di Ricerca di Napoli,11/09/2009.
  20. 20. C. Angelini, L. Cutillo, D. De Canditiis, M. Mutarelli, M. Pensky. BATS: A Bayesian user friendly Software for analyzing time series microarray experiments. BioInfoGRID Symposium 2007, Milan 10-13/12/2007.
  21. 21. C. Angelini, L. Cutillo, D. De Canditiis, M. Mutarelli, M. Pensky. BATS: A user friendly Software for analyzing time series microarray experiments. BITS 2007, Naples, 26-28/04/2007.
  22. 22. C. Angelini, Un approccio Bayesiano per l'analisi di esperimenti di time-course con microarrays, Bioinformatica e Biologia computazionale in Campania, 18/12/2006, ISA-CNR, Avellino.
  23. 23. C. Angelini, Bayesian Wavelet Estimators: what about Global and Pointwise Minimax Convergence? In Estimations Are Approximations: Multiresolution Modeling and Statistical Inference, The Radcliffe Institute for Advanced Study at Harvard University, USA, 27-29/10/2005.
  24. 24. C. Angelini, On Bayesian wavelet estimators: Global and Pointwise Convergence. Mini-Workshop on (Bayesian) Statistical Modeling in Wavelet Domain, Milan 17/12/2004.
  25. 25. F. Abramovich, C. Angelini, Bayesian MAP multiple thresholding procedures. The 3rd winter workshop on Statistics & Computer Science -Scientific Application of Bayesian Analysis. 5-8/12/2004, Ein Gedi (Israel).
  26. 26. F. Abramovich, U. Amato, C. Angelini. On optimality of Bayesian wavelet estimators. Wavelet and Statistics 4-7/09/2003, Villard de Lans, Grenoble France.
  27. 27. C. Angelini, T. Sapatinas. Empirical Bayes Approach to wavelet Regression using ε-contaminated priors. NPCONF2002, 15-19/07/2002 - Crete, Greece.
  28. 28. C. Angelini, D. De Canditiis, F. Leblanc. Wavelet regression estimation in nonparametric mixed effect models. ICCAM 2000, Leuven (Belgio), 17-21/07/2000.
  29. 29. C. Angelini, D. De Canditiis, F. Leblanc. Wavelet approximation of functions from samples affected by noise. Minisymposium on Approximation of Curves and Surfaces, Florence 8-9/06/2000.
  30. 30. C. Angelini, Tre approcci basati sulle wavelets per il problema dello smoothing di dati. XVI congresso UMI, Napoli 13-18/09/1999.
  31. 31. U. Amato, C. Angelini, D. De Canditiis, I. De Feis. Fourier frequency adaptive regularization for smoothing data. ICCAM 1998, Leuven, Belgio.

Seminars

  1. 1. C. Angelini. Analyzing the Whole Transcriptome by RNA-Seq data: Statistical and Computational Challenges. Centre for Systems Engineering and Applied Mechanics (CESAME) Louvain-la-Neuve, 1/03/2011.
  2. 2. C. Angelini. Computational methods for the analysis of RNA-Seq experiments, nell' ambito de I Martedì della Bioinformatica, Università degli Studi di Salerno, 07/12/2010.
  3. 3. C. Angelini, On the Analysis of Time Course Microarray Experiments, in Tutorial di Metodi e Strumenti per l'Analisi dei Dati di Espressione Genica, Area della Ricerca CNR Napoli, 18/12/2007.
  4. 4. C. Angelini, BATS: modelli Bayesiani e software per l'analisi statistica di esperimenti di time-course con microarray, nell'ambito de I Martedì della Bioinformatica, Università degli Studi di Salerno, 06/11/2007.
  5. 5. C. Angelini, Bayesian approach to estimation and testing in time course microarray experiments, Department of Mathematics University of Central Florida, Orlando, 17/11/2006.
  6. 6. C. Angelini, Bayesian Maximum A Posteriori multiple testing procedures with applications to microarray data analysis Department of Mathematics University of Central Florida, Orlando 11/2005.
  7. 7. C. Angelini Wavelets: Cosa, Come e Perche'?, Università della Calabria-Arcavacata di Rende- il 22/09/2003.
  8. 8. C. Angelini, Fourier frequency adaptive regularization for smoothing data, LMC - University J. Fourier, Grenoble, France, 22/10/1998.

Special Lessons

  1. 1. C. Angelini, Metodi statistici per la classificazione di campioni. Lezione al corso di aggiornamento Bioinformatica di base per la Proteomica. Genova, IST 24-27 Novembre 2015.
  2. 2. C.Angelini, Chip-seq: methods and applications in epigenomic studies (review + practical). EMBO course in Bioinformatics and Comparative Genome Analysis. Napoli, Stazione Zoologica, 15/5/2012.
  3. 3. C. Angelini, Metodi statistici per analisi di dati NGS. Corso di Gestione e Analisi di Dati di Next Generation Sequencing nell'Ambito della Ricerca Clinica. Pavia, Collegio Ghislieri, 9/5/2012.
  4. 4. C. Angelini, Metodi di analisi statistica di dati di Next Generation Sequencing. 11 Corso di formazione avanzata in Medicina genomica e terapia personalizzata in ematologia/oncologia. Pavia, Collegio Ghislieri, 17/4/2012.
  5. 5. C. Angelini, Metodi basati sulle wavelets per l'analisi di dati di spettrometria di massa. Lezione al corso di aggiornamento Bioinformatica per la Proteomica: basi teoriche ed applicazioni. Genova, IST 18-20 ottobre 2010.
  6. 6. C. Angelini, Metodi basati sulle wavelets per il pre-processing di dati di spettrometria di massa. Lezione al corso di aggiornamento Bioinformatica per la Proteomica: basi teoriche ed applicazioni. Avellino, ISA-CNR, 10-13 November 2009.