Multiobjective optimization in bioinformatics and computational biology

Julia Handl; Douglas B. Kell; Joshua Knowles

doi:10.1109/TCBB.2007.070203

Multiobjective optimization in bioinformatics and computational biology

Julia Handl, Douglas B. Kell, Joshua Knowles

MSM Decision Sciences

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Abstract

This paper reviews the application of multiobjective optimization in the fields of bioinformatics and computational biology. A survey of existing work, organized by application area, forms the main body of the review, following an introduction to the key concepts in multiobjective optimization. An original contribution of the review is the identification of five distinct "contexts," giving rise to multiple objectives: These are used to explain the reasons behind the use of multiobjective optimization in each application area and also to point the way to potential future uses of the technique. © 2007 IEEE.

Original language	English
Pages (from-to)	279-291
Number of pages	12
Journal	IEEE/ACM Transactions on Computational Biology and Bioinformatics
Volume	4
Issue number	2
DOIs	https://doi.org/10.1109/TCBB.2007.070203
Publication status	Published - Apr 2007

Keywords

Bioinformatics (genome or protein) databases
Classification and association rules
Clustering
Experimental design
Global optimization
Interactive data exploration and discovery
Machine learning

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title = "Multiobjective optimization in bioinformatics and computational biology",

abstract = "This paper reviews the application of multiobjective optimization in the fields of bioinformatics and computational biology. A survey of existing work, organized by application area, forms the main body of the review, following an introduction to the key concepts in multiobjective optimization. An original contribution of the review is the identification of five distinct {"}contexts,{"} giving rise to multiple objectives: These are used to explain the reasons behind the use of multiobjective optimization in each application area and also to point the way to potential future uses of the technique. {\textcopyright} 2007 IEEE.",

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KW - Bioinformatics (genome or protein) databases

KW - Classification and association rules

KW - Clustering

KW - Experimental design

KW - Global optimization

KW - Interactive data exploration and discovery

KW - Machine learning

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JF - IEEE/ACM Transactions on Computational Biology and Bioinformatics

IS - 2

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Multiobjective optimization in bioinformatics and computational biology

Abstract

Keywords

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