Sequence-based prediction of protein–protein interaction using auto-feature engineering of RNN-based model.
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| Title: | Sequence-based prediction of protein–protein interaction using auto-feature engineering of RNN-based model. |
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| Authors: | Mewara, Bhawna1 (AUTHOR) mewara.bhawna2203@gmail.com, Lalwani, Soniya1 (AUTHOR) |
| Source: | Research on Biomedical Engineering. Mar2023, Vol. 39 Issue 1, p259-272. 14p. |
| 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: 162261648 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Sequence-based prediction of protein–protein interaction using auto-feature engineering of RNN-based model. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Mewara%2C+Bhawna%22">Mewara, Bhawna</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> mewara.bhawna2203@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Lalwani%2C+Soniya%22">Lalwani, Soniya</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Research+on+Biomedical+Engineering%22">Research on Biomedical Engineering</searchLink>. Mar2023, Vol. 39 Issue 1, p259-272. 14p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=162261648 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s42600-023-00273-z Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 259 Titles: – TitleFull: Sequence-based prediction of protein–protein interaction using auto-feature engineering of RNN-based model. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mewara, Bhawna – PersonEntity: Name: NameFull: Lalwani, Soniya IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 24464732 Numbering: – Type: volume Value: 39 – Type: issue Value: 1 Titles: – TitleFull: Research on Biomedical Engineering Type: main |
| ResultId | 1 |