A new distributed feature selection technique for classifying gene expression data.
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| Title: | A new distributed feature selection technique for classifying gene expression data. |
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| Authors: | Ayyad, Sarah M.1 (AUTHOR) Sarah.aiyad@gmail.com, Saleh, Ahmed I.1 (AUTHOR) aisaleh@yahoo.com, Labib, Labib M.1 (AUTHOR) labibm@hotmail.com |
| Source: | International Journal of Biomathematics. May2019, Vol. 12 Issue 4, pN.PAG-N.PAG. 31p. |
| Database: | Mathematics Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: msf DbLabel: Mathematics Source An: 136894225 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=136894225 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1142/S1793524519500396 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 31 StartPage: N.PAG Titles: – TitleFull: A new distributed feature selection technique for classifying gene expression data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ayyad, Sarah M. – PersonEntity: Name: NameFull: Saleh, Ahmed I. – PersonEntity: Name: NameFull: Labib, Labib M. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2019 Type: published Y: 2019 Identifiers: – Type: issn-print Value: 17935245 Numbering: – Type: volume Value: 12 – Type: issue Value: 4 Titles: – TitleFull: International Journal of Biomathematics Type: main |
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