Machine learning: its challenges and opportunities in plant system biology.
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| Title: | Machine learning: its challenges and opportunities in plant system biology. |
|---|---|
| Authors: | Hesami, Mohsen1, Alizadeh, Milad2, Jones, Andrew Maxwell Phineas1, Torkamaneh, Davoud3,4, davoud.torkamaneh.1@ulaval.ca |
| Source: | Applied Microbiology & Biotechnology; May2022, Vol. 106 Issue 9/10, p3507-3530, 24p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 157151645 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00253-022-11963-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 24 StartPage: 3507 Titles: – TitleFull: Machine learning: its challenges and opportunities in plant system biology. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hesami, Mohsen – PersonEntity: Name: NameFull: Alizadeh, Milad – PersonEntity: Name: NameFull: Jones, Andrew Maxwell Phineas – PersonEntity: Name: NameFull: Torkamaneh, Davoud IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 01757598 Numbering: – Type: volume Value: 106 – Type: issue Value: 9/10 Titles: – TitleFull: Applied Microbiology & Biotechnology Type: main |
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