Difference between revisions of "Phylogenetic Trees"
| (One intermediate revision by one other user not shown) | |||
| Line 8: | Line 8: | ||
|resarea=Machine Learning | |resarea=Machine Learning | ||
|restopic=Information Geometry; Stocastic Optimization; Evolutionary Computation | |restopic=Information Geometry; Stocastic Optimization; Evolutionary Computation | ||
| − | |status= | + | |status=Closed |
|start=2009/05/01 | |start=2009/05/01 | ||
|level=Bs | |level=Bs | ||
| Line 28: | Line 28: | ||
# Emmanuel Paradis. '''Analysis of Phylogenetics and Evolution with R'''. Springer, 2006. | # Emmanuel Paradis. '''Analysis of Phylogenetics and Evolution with R'''. Springer, 2006. | ||
# Charles Semple and Mike Steel. '''Phylogenetics'''. Oxford University Press, 2003. | # Charles Semple and Mike Steel. '''Phylogenetics'''. Oxford University Press, 2003. | ||
| + | |||
| + | == Useful links == | ||
| + | * [http://www.wikipedia.org Wikipedia] | ||
| + | * [http://www.r-project.org/ Homepage of the R project] | ||
| + | * [http://cran.r-project.org/ List of packages for R] | ||
| + | * [http://rwiki.sciviews.org/doku.php R Wiki] | ||
Latest revision as of 23:57, 3 April 2012
Phylogenetic Trees
| |
 | |
| Corresponding Proposal: | Statistical inference for phylogenetic trees |
| Coordinator: | MatteoMatteucci (matteo.matteucci@polimi.it) |
| Tutor: | LuigiMalago (malago@elet.polimi.it) |
| Collaborator: | |
| Students: | RiccardoDesantis (effetti@gmail.com) |
| Research Area: | Machine Learning |
| Research Topic: | Information Geometry, Stocastic Optimization, Evolutionary Computation |
| Start: | 2009/05/01 |
| Status: | Closed |
| Level: | Bs |
| Type: | Thesis |
The project focus on the study, implementation, comparison and analysis of different statistical inference techniques for phylogenetic trees.
The aim of this project is to create a taxonomy of malicious software (aka malware), because new malwares are often related to the older ones, creating something like an evolutionary relationship between them.
The framework used is R, a software environment for statistical computing which already provide a set of classes implementhing those phylogenetic inference models and methods, good enough to start.
We already have got a very large amount of data about classified malwares (collected by a team of PoliMi researchers), so we just have to test how standard phylogenetic methods react to such an enormous group of data.
Bibliography
- Joseph Felsenstein. Inferring Phylogenies. Sinauer Associates, Inc., 2004.
- Barry G. Hall. Phylogenetic trees made easy: A How-To manual. Sinauer Associates, Inc., third edition, 2008.
- Masatoshi Nei and Sudhir Kumar. Molecular Evolution and Phylogenetics. Oxford University Press, 2000.
- Emmanuel Paradis. Analysis of Phylogenetics and Evolution with R. Springer, 2006.
- Charles Semple and Mike Steel. Phylogenetics. Oxford University Press, 2003.
