Deep autoencoder-based behavioral pattern recognition outperforms standard statistical methods in high-dimensional zebrafish studies.
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| Title: | Deep autoencoder-based behavioral pattern recognition outperforms standard statistical methods in high-dimensional zebrafish studies. |
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| Authors: | Green, Adrian J.1,2 (AUTHOR) ajgreen4@ncsu.edu, Truong, Lisa3 (AUTHOR), Thunga, Preethi1 (AUTHOR), Leong, Connor3 (AUTHOR), Hancock, Melody1 (AUTHOR), Tanguay, Robyn L.3 (AUTHOR), Reif, David M.1,4 (AUTHOR) |
| Source: | PLoS Computational Biology. 9/10/2024, Vol. 20 Issue 9, p1-17. 17p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 179552686 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Deep autoencoder-based behavioral pattern recognition outperforms standard statistical methods in high-dimensional zebrafish studies. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Green%2C+Adrian+J%2E%22">Green, Adrian J.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> ajgreen4@ncsu.edu</i><br /><searchLink fieldCode="AR" term="%22Truong%2C+Lisa%22">Truong, Lisa</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Thunga%2C+Preethi%22">Thunga, Preethi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Leong%2C+Connor%22">Leong, Connor</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hancock%2C+Melody%22">Hancock, Melody</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tanguay%2C+Robyn+L%2E%22">Tanguay, Robyn L.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Reif%2C+David+M%2E%22">Reif, David M.</searchLink><relatesTo>1,4</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 9/10/2024, Vol. 20 Issue 9, p1-17. 17p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=179552686 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pcbi.1012423 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 1 Titles: – TitleFull: Deep autoencoder-based behavioral pattern recognition outperforms standard statistical methods in high-dimensional zebrafish studies. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Green, Adrian J. – PersonEntity: Name: NameFull: Truong, Lisa – PersonEntity: Name: NameFull: Thunga, Preethi – PersonEntity: Name: NameFull: Leong, Connor – PersonEntity: Name: NameFull: Hancock, Melody – PersonEntity: Name: NameFull: Tanguay, Robyn L. – PersonEntity: Name: NameFull: Reif, David M. IsPartOfRelationships: – BibEntity: Dates: – D: 10 M: 09 Text: 9/10/2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 1553734X Numbering: – Type: volume Value: 20 – Type: issue Value: 9 Titles: – TitleFull: PLoS Computational Biology Type: main |
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