Question: [COURSE REMINDER] Computational and Statistical Aspects of Microarray Analysis
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13.9 years ago by
stefano iacus430
stefano iacus430 wrote:
[Course reminder and few labs added] Computational and Statistical Aspects of Microarray Analysis (III) June 19-25 2005, Bressanone-Brixen, Italy This 5 days lecture series provides an introduction to genomic data and their interpretation. The main focus will be on microarray experiments, covering statistical topics such as preprocessing, normalization, quality assessment, gene identification, machine learning and inference for graphs and networks. Applications of these methods to proteomics and other high throughput technologies will also be covered. Computer laboratory material will be available for self-study. Participants should have some minimal background on biological, statistical and computational aspects of microarrays, or other high-throughput data. Participants interested in hands-on, interactive activities should consider signing up for the lecture and laboratory series (space is very limited; please read the NOTE below). These require a basic knowledge of the R or S language. An introductory R course will be given. Lecturers of the course: Robert Gentleman, Head of Program in Computational Biology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle (WA), USA. Wolfgang Huber, European Bioinformatics Institute, European Molecular Biology Laboratory, Wellcome Trust Genome Campus, Cambridge, England (UK). Rafael A. Irizarry, Department of Biostatistics, Johns Hopkins University, School of Public Health, Baltimore (MD), USA. The course is organized by S.M.Iacus and F.Grigoletto at the Universities of Milan and Padua, Italy in collaboration with the Biocondutor project and the R Foundation for Statistical Computing. For further information, registration and topics please refer to the course web page "" or contact PLEASE NOTE: we currently have 50 places available for the morning lectures. Moreover, due to high number of requests, we decided to add few more places for the laboratory sessions. These places will be assigned on a FIFO base. [apologizes for cross posting] ----------------------------------- Stefano M. Iacus Department of Economics, Business and Statistics University of Milan Via Conservatorio, 7 I-20123 Milan - Italy Ph.: +39 02 50321 461 Fax: +39 02 50321 505 ---------------------------------------------------------------------- -- ------------ Please don't send me Word or PowerPoint attachments if not absolutely necessary. See:
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