AI for predicting chemical-effect associations at the chemical universe level—deepFPlearn.
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| Title: | AI for predicting chemical-effect associations at the chemical universe level—deepFPlearn. |
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| Authors: | Schor, Jana1 (AUTHOR) jana.schor@ufz.de, Scheibe, Patrick2 (AUTHOR), Bernt, Matthias1 (AUTHOR), Busch, Wibke3 (AUTHOR), Lai, Chih4 (AUTHOR), Hackermüller, Jörg1,5 (AUTHOR) jana.schor@ufz.de |
| Source: | Briefings in Bioinformatics. Sep2022, Vol. 23 Issue 5, p1-11. 11p. |
| 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: 159311789 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: AI for predicting chemical-effect associations at the chemical universe level—deepFPlearn. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Schor%2C+Jana%22">Schor, Jana</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> jana.schor@ufz.de</i><br /><searchLink fieldCode="AR" term="%22Scheibe%2C+Patrick%22">Scheibe, Patrick</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bernt%2C+Matthias%22">Bernt, Matthias</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Busch%2C+Wibke%22">Busch, Wibke</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lai%2C+Chih%22">Lai, Chih</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hackermüller%2C+Jörg%22">Hackermüller, Jörg</searchLink><relatesTo>1,5</relatesTo> (AUTHOR)<i> jana.schor@ufz.de</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Briefings+in+Bioinformatics%22">Briefings in Bioinformatics</searchLink>. Sep2022, Vol. 23 Issue 5, p1-11. 11p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=159311789 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1093/bib/bbac257 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 1 Titles: – TitleFull: AI for predicting chemical-effect associations at the chemical universe level—deepFPlearn. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Schor, Jana – PersonEntity: Name: NameFull: Scheibe, Patrick – PersonEntity: Name: NameFull: Bernt, Matthias – PersonEntity: Name: NameFull: Busch, Wibke – PersonEntity: Name: NameFull: Lai, Chih – PersonEntity: Name: NameFull: Hackermüller, Jörg IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 14675463 Numbering: – Type: volume Value: 23 – Type: issue Value: 5 Titles: – TitleFull: Briefings in Bioinformatics Type: main |
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