Generative and interpretable machine learning for aptamer design and analysis of in vitro sequence selection.
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| Title: | Generative and interpretable machine learning for aptamer design and analysis of in vitro sequence selection. |
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| Authors: | Di Gioacchino, Andrea1 (AUTHOR), Procyk, Jonah2 (AUTHOR), Molari, Marco1,3,4 (AUTHOR), Schreck, John S.5 (AUTHOR), Zhou, Yu2 (AUTHOR), Liu, Yan2 (AUTHOR), Monasson, Rémi1 (AUTHOR) remi.monasson@phys.ens.fr, Cocco, Simona1 (AUTHOR) remi.monasson@phys.ens.fr, Šulc, Petr2 (AUTHOR) remi.monasson@phys.ens.fr |
| Source: | PLoS Computational Biology. 9/29/2022, Vol. 18 Issue 9, p1-31. 31p. 2 Black and White Photographs, 2 Diagrams, 1 Chart, 5 Graphs. |
| Database: | Academic Search Ultimate |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 159414692 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Generative and interpretable machine learning for aptamer design and analysis of in vitro sequence selection. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Di+Gioacchino%2C+Andrea%22">Di Gioacchino, Andrea</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Procyk%2C+Jonah%22">Procyk, Jonah</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Molari%2C+Marco%22">Molari, Marco</searchLink><relatesTo>1,3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Schreck%2C+John+S%2E%22">Schreck, John S.</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhou%2C+Yu%22">Zhou, Yu</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Yan%22">Liu, Yan</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Monasson%2C+Rémi%22">Monasson, Rémi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> remi.monasson@phys.ens.fr</i><br /><searchLink fieldCode="AR" term="%22Cocco%2C+Simona%22">Cocco, Simona</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> remi.monasson@phys.ens.fr</i><br /><searchLink fieldCode="AR" term="%22Šulc%2C+Petr%22">Šulc, Petr</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> remi.monasson@phys.ens.fr</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 9/29/2022, Vol. 18 Issue 9, p1-31. 31p. 2 Black and White Photographs, 2 Diagrams, 1 Chart, 5 Graphs. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=159414692 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pcbi.1010561 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 31 StartPage: 1 Titles: – TitleFull: Generative and interpretable machine learning for aptamer design and analysis of in vitro sequence selection. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Di Gioacchino, Andrea – PersonEntity: Name: NameFull: Procyk, Jonah – PersonEntity: Name: NameFull: Molari, Marco – PersonEntity: Name: NameFull: Schreck, John S. – PersonEntity: Name: NameFull: Zhou, Yu – PersonEntity: Name: NameFull: Liu, Yan – PersonEntity: Name: NameFull: Monasson, Rémi – PersonEntity: Name: NameFull: Cocco, Simona – PersonEntity: Name: NameFull: Šulc, Petr IsPartOfRelationships: – BibEntity: Dates: – D: 29 M: 09 Text: 9/29/2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 1553734X Numbering: – Type: volume Value: 18 – Type: issue Value: 9 Titles: – TitleFull: PLoS Computational Biology Type: main |
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