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Predicting Gene Function using Predictive Clustering Trees
- 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
- Subjects :
- Hierarchy (mathematics)
Computer science
business.industry
Decision tree learning
Function (mathematics)
Machine learning
computer.software_genre
Task (project management)
Tree (data structure)
Tree structure
Protein function prediction
Artificial intelligence
Cluster analysis
business
computer
Subjects
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