Prediction of breast cancer prognosis using geneset statistics provides signature stability andbiological context.
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| Title: | Prediction of breast cancer prognosis using geneset statistics provides signature stability andbiological context. |
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| Authors: | Abraham, Gad1,2, Kowalczyk, Adam2, Loi, Sherene3,4, Haviv, Izhak5,6,7, Zobel, Justin1,2 jz@csse.unimelb.edu.au |
| Source: | BMC Bioinformatics. 2010, Vol. 11, p277-291. 15p. |
| Database: | Academic Search Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 52799145 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=52799145 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/1471-2105-11-277 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 277 Titles: – TitleFull: Prediction of breast cancer prognosis using geneset statistics provides signature stability andbiological context. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Abraham, Gad – PersonEntity: Name: NameFull: Kowalczyk, Adam – PersonEntity: Name: NameFull: Loi, Sherene – PersonEntity: Name: NameFull: Haviv, Izhak – PersonEntity: Name: NameFull: Zobel, Justin IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2010 Type: published Y: 2010 Identifiers: – Type: issn-print Value: 14712105 Numbering: – Type: volume Value: 11 Titles: – TitleFull: BMC Bioinformatics Type: main |
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