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Predicting Gene Function using Predictive Clustering Trees

Authors :
Celine Vens
Hendrik Blockeel
Jan Struyf
Dragi Kocev
Leander Schietgat
Sašo Džeroski
Dzeroski, Saso
Goethals, Bart
Panov, Pance
Source :
Inductive Databases and Constraint-Based Data Mining ISBN: 9781441977373, Inductive Databases and Constraint-Based Data Mining
Publication Year :
2010
Publisher :
Springer New York, 2010.

Abstract

In this chapter, we show how the predictive clustering tree framework can be used to predict the functions of genes. The gene function prediction task is an example of a hierarchical multi-label classification (HMC) task: genes may have multiple functions and these functions are organized in a hierarchy. The hierarchy of functions can be such that each function has at most one parent (tree structure) or such that functions may have multiple parents (DAG structure). © 2010 Springer Science+Business Media, LLC. ispartof: Inductive Databases and Constraint-based Data Mining pages:365-387 ispartof: pages:365-387 status: published

Details

ISBN :
978-1-4419-7737-3
ISBNs :
9781441977373
Database :
OpenAIRE
Journal :
Inductive Databases and Constraint-Based Data Mining ISBN: 9781441977373, Inductive Databases and Constraint-Based Data Mining
Accession number :
edsair.doi.dedup.....d86a22302060b6001cddf11a43d68a5d
Full Text :
https://doi.org/10.1007/978-1-4419-7738-0_15