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Pitfalls of supervised feature selection
- Source :
- Bioinformatics, Bioinformatics 26, 440-443 (2010)
- Publication Year :
- 2009
- Publisher :
- Oxford University Press (OUP), 2009.
-
Abstract
- Pitfalls of supervised feature selection Pawel Smialowski1,2,∗, Dmitrij Frishman1,2 and Stefan Kramer3 1Department of Genome Oriented Bioinformatics, Technische Universitat Munchen Wissenschaftszentrum Weihenstephan, Am Forum 1, 85350 Freising, 2Helmholtz Zentrum Munich, National Research Center for Environment and Health, Institute for Bioinformatics, Ingolstadter Landstrase 1, 85764 Neuherberg and 3Institut fur Informatik/I12, Technische Universitat Munchen, Boltzmannstr. 3, 85748 Garching b. Munchen, Germany
- Subjects :
- Statistics and Probability
business.industry
Protein Array Analysis
Computational Biology
Proteins
Feature selection
Biology
Machine learning
computer.software_genre
Biochemistry
Computer Science Applications
Computational Mathematics
Computational Theory and Mathematics
Artificial intelligence
Data and Text Mining
business
Letter to the Editor
Molecular Biology
computer
Research center
Selection (genetic algorithm)
Subjects
Details
- ISSN :
- 13674811 and 13674803
- Volume :
- 26
- Database :
- OpenAIRE
- Journal :
- Bioinformatics
- Accession number :
- edsair.doi.dedup.....3f2ed5477aeeb185852fc81bb949aca7