Ensemble feature selection with data-driven thresholding for Alzheimer's disease biomarker discovery
Ensemble feature selection with data-driven thresholding for Alzheimer's disease biomarker discovery
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Author / Creator
Publisher
BioMed Central Ltd
Journal title
Language
English
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Publication information
Publisher
BioMed Central Ltd
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Scope and Contents
Contents
Feature selection is often used to identify the important features in a dataset but can produce unstable results when applied to high-dimensional data. The stability of feature selection can be improved with the use of feature selection ensembles, which aggregate the results of multiple base feature selectors. However, a threshold must be applied t...
Alternative Titles
Full title
Ensemble feature selection with data-driven thresholding for Alzheimer's disease biomarker discovery
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Record Identifier
TN_cdi_gale_infotracmisc_A732790962
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_gale_infotracmisc_A732790962
Other Identifiers
ISSN
1471-2105
E-ISSN
1471-2105
DOI
10.1186/s12859-022-05132-9
