Prediction of breast cancer subtypes based on proteomic data with deep learning.
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| Title: | Prediction of breast cancer subtypes based on proteomic data with deep learning. |
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| Authors: | Yasar, Seyma1 seyma.yasar@inonu.edu.tr, Colak, Cemil1, Yologlu, Saim1 |
| Source: | Annals of Medical Research. Oct2020, Vol. 27 Issue 10, p2803-2806. 4p. |
| Database: | Academic Search Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 147377007 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Prediction of breast cancer subtypes based on proteomic data with deep learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Yasar%2C+Seyma%22">Yasar, Seyma</searchLink><relatesTo>1</relatesTo><i> seyma.yasar@inonu.edu.tr</i><br /><searchLink fieldCode="AR" term="%22Colak%2C+Cemil%22">Colak, Cemil</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Yologlu%2C+Saim%22">Yologlu, Saim</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Annals+of+Medical+Research%22">Annals of Medical Research</searchLink>. Oct2020, Vol. 27 Issue 10, p2803-2806. 4p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=147377007 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.5455/annalsmedres.2020.02.165 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 4 StartPage: 2803 Titles: – TitleFull: Prediction of breast cancer subtypes based on proteomic data with deep learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yasar, Seyma – PersonEntity: Name: NameFull: Colak, Cemil – PersonEntity: Name: NameFull: Yologlu, Saim IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2020 Type: published Y: 2020 Identifiers: – Type: issn-print Value: 26367688 Numbering: – Type: volume Value: 27 – Type: issue Value: 10 Titles: – TitleFull: Annals of Medical Research Type: main |
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