1. Eldorado
  2. Zentrale und angegliederte Institute
  3. Leibniz-Institut für Arbeitsforschung an der TU Dortmund
  4. Excli - Experimental and Clinical Sciences
  5. 2016 - Volume 15
  6. Editorial
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dc.contributor.authorHammad, S.-
dc.contributor.authorOsman, G. S.-
dc.contributor.authorEzzeldien, M.-
dc.contributor.authorAhmed, H.-
dc.contributor.authorKotb, A. M.-
dc.date.accessioned2017-02-14T12:47:38Z-
dc.date.available2017-02-14T12:47:38Z-
dc.date.issued2016-12-23-
dc.identifier.issn1611-2156-
dc.identifier.urihttp://hdl.handle.net/2003/35808-
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-17832-
dc.language.isoen-
dc.relation.ispartofseriesEXCLI Journal;Vol. 15, 2016-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subject.ddc610-
dc.titleHighlight report: Predicting late metastasis in breast canceren
dc.typeText-
dc.identifier.doi10.17179/excli2016-843-
dc.type.publicationtypearticle-
dcterms.accessRightsopen access-
eldorado.dnb.zdberstkatid2132560-1-
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