Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/77222 
Year of Publication: 
2001
Series/Report no.: 
Technical Report No. 2001,49
Publisher: 
Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen, Dortmund
Abstract: 
The secondary structure classification of amino acid sequences can be carried out by a statistical analysis of sequence and structure data using state-space models. Aiming at this classification, a modified filter algorithm programmed in S is applied to data of three proteins. The application leads to correct classifications of two proteins even when using relatively simple estimation methods for the parameters of the state-space models. Furthermore, it has been shown that the assumed initial distribution strongly influences the classification results referring to two proteins.
Subjects: 
Secondary structure classification
discrete state-space models
filtering
Document Type: 
Working Paper

Files in This Item:
File
Size
960.67 kB
251.36 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.