English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Context-Specific Independence Mixture Modelling for Protein Families.

Georgi, B., Schultz, J., & Schliep, A. (2007). Context-Specific Independence Mixture Modelling for Protein Families. In J. Kok, J. Koronacki, R. Lopez de Mantaras, S. Matwin, D. Mladenic, & A. Skowron (Eds.), Knowledge Discovery in Databases: PKDD 2007 (pp. 79-90). Berlin/Heidelberg: Springer.

Item is

Files

show Files
hide Files
:
fulltext.pdf (Any fulltext), 487KB
 
File Permalink:
-
Name:
fulltext.pdf
Description:
-
Visibility:
Restricted (Max Planck Institute for Molecular Genetics, MBMG; )
MIME-Type / Checksum:
application/pdf
Technical Metadata:
Copyright Date:
-
Copyright Info:
eDoc_access: MPG
License:
-

Locators

show

Creators

show
hide
 Creators:
Georgi, Benjamin1, Author
Schultz, Jörg, Author
Schliep, Alexander2, Author              
Affiliations:
1Max Planck Society, ou_persistent13              
2Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1433547              

Content

show
hide
Free keywords: -
 Abstract: Protein families can be divided into subgroups with functional differences. The analysis of these subgroups and the determination of which residues convey substrate specificity is a central question in the study of these families. We present a clustering procedure using the context-specific independence mixture framework using a Dirichlet mixture prior for simultaneous inference of subgroups and prediction of specificity determining residues based on multiple sequence alignments of protein families. Application of the method on several well studied families revealed a good clustering performance and ample biological support for the predicted positions. The software we developed to carry out this analysis PyMix - the Python mixture package is available from http://www.algorithmics.molgen.mpg.de/pymix.html.

Details

show
hide
Language(s): eng - English
 Dates: 2007-08-30
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Knowledge Discovery in Databases: PKDD 2007
Source Genre: Book
 Creator(s):
Kok, J.N., Editor
Koronacki, J., Editor
Lopez de Mantaras, R., Editor
Matwin, S., Editor
Mladenic, D., Editor
Skowron, A., Editor
Affiliations:
-
Publ. Info: Berlin/Heidelberg : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 79 - 90 Identifier: -

Source 2

show
hide
Title: Lecture Notes in Computer Science
Source Genre: Series
 Creator(s):
Hofmann, Alfred, Editor
Affiliations:
-
Publ. Info: -
Pages: - Volume / Issue: 4202 Sequence Number: - Start / End Page: - Identifier: ISSN: 0302-9743