An artificial immune system for evolving amino acid clusters tailored to protein function prediction

A. Secker*, A. A. Freitas, J. Timmis, E. Clark, D. R. Flower

*Awdur cyfatebol y gwaith hwn

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddTrafodion Cynhadledd (Nid-Cyfnodolyn fathau)

2 Dyfyniadau(SciVal)

Crynodeb

This paper addresses the classification task of data mining (a form of supervised learning) in the context of an important bioinformatics problem, namely the prediction of protein functions. This problem is cast as a hierarchical classification problem, where the protein functions to be predicted correspond to classes that are arranged in a hierarchical structure, in the form of a class tree. The main contribution of this paper is to propose a new Artificial Immune System that creates a new representation for proteins, in order to maximize the predictive accuracy of a hierarchical classification algorithm applied to the corresponding protein function prediction problem.

Iaith wreiddiolSaesneg
TeitlArtificial Immune Systems - 7th International Conference, ICARIS 2008, Proceedings
CyhoeddwrSpringer Nature
Tudalennau242-253
Nifer y tudalennau12
ISBN (Argraffiad)3540850716, 9783540850717
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 2008
Digwyddiad7th International Conference on Artificial Immune Systems, ICARIS 2008 - Phuket, Gwlad Thai
Hyd: 10 Awst 200813 Awst 2008

Cyfres gyhoeddiadau

EnwLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Cyfrol5132 LNCS
ISSN (Argraffiad)0302-9743
ISSN (Electronig)1611-3349

Cynhadledd

Cynhadledd7th International Conference on Artificial Immune Systems, ICARIS 2008
Gwlad/TiriogaethGwlad Thai
DinasPhuket
Cyfnod10 Awst 200813 Awst 2008

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