Iterativna optimizacija modela i pretraživanje proteoma

Cigula, Maja (2016) Iterativna optimizacija modela i pretraživanje proteoma. Diploma thesis, Faculty of Science > Department of Mathematics.

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After a brief introduction to elementary probability theory we introduce certain aspects of the theory of extreme value distribution. We describe and compare two algorithms for searching for strings in large datasets - sliding window and string matching algorithm. Using results from extreme value theory and either of the algorithms, we construct an iterative string searching method. The results of this procedure are compared between the algorithms as well as against expert knowledge, on four plant proteomes.

Item Type: Thesis (Diploma thesis)
Supervisor: Goldstein, Pavle
Date: 2016
Number of Pages: 28
Subjects: NATURAL SCIENCES > Mathematics
Divisions: Faculty of Science > Department of Mathematics
Depositing User: Iva Prah
Date Deposited: 05 Apr 2016 12:49
Last Modified: 05 Apr 2016 12:49

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