| Statistical and Machine Learning Methods in Computational Biology | |
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Italy - Sicily - Lipari |
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| Hosted by: | Jacob T. Schwartz, Lipari International Summer School on BioInformatics and Computational Biology |
| Venue: | Grand Hotel Arciduca |
| Dates: | Jun 12, 2010 through Jun 19, 2010 |
| Early Registration Deadline: | 2010-04-10 |
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Description |
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| The theme of the School: Statistical and Machine Learning Methods in Computational Biology is among the most representative areas of interdisciplinary research in modern science. It has also a very long and prestigious history of fundamental contributions to biology and medicine. However, since high throughput and genome wide experiments are becoming a standard for biological investigation, new techniques for the analysis of biological data are required. The main lectures will focus on four aspects of the theme, ranging from new statistical challenges posed by deep sequencing techniques to inference and analysis of network structure that take into full account the paradigm shift that we have witnessed in terms of the scale of data available. A series of tutorial is also offered, with the intent to complement the main lectures by providing snapshots of other areas that are perceived of relevance to the theme of the School. They range from introductory topics to Statistics to probabilistic and Machine Learning methods used to shed light on nucleosome organization in genomes. As a whole, the planned summer school will allow young researchers interested in bioinformatics and biomedicine to be exposed to cutting edge results in an area that, although classic, is among the most effervescent in Post-Genomic Biology. |
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| Additional Information | |
| Event URL: | http://lipari.dmi.unict.it/LipariSchool/Bio/index.php |
| ISCB Member Discount: | None |
| Contact Person: | Alfredo Ferro ([javascript protected email address]) |
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