Mu et al., 2018 - Google Patents
Feature genes selection using Fisher transformation methodMu et al., 2018
- Document ID
- 5138743434172021990
- Author
- Mu H
- Xu J
- Wang Y
- Sun L
- Publication year
- Publication venue
- Journal of Intelligent & Fuzzy Systems
External Links
Snippet
The selection of feature genes with high recognition ability from the gene expression profiles have gained great significances in biology. However, most of the existing methods for feature genes selection have a high time complexity where lead to a poor performance …
- 230000001131 transforming 0 title abstract description 9
Classifications
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- G06F17/30587—Details of specialised database models
- G06F17/30595—Relational databases
- G06F17/30598—Clustering or classification
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- G—PHYSICS
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- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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