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A Meta-analysis of Transcriptomic Datasets to Identify Consistent Placental Biomarkers of Preterm Birth.

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dc.contributor.authorsSobhani, Nasim; Okorie, Chinomnso; Chen, Hao; Ozarslan, Nida; Marquez-Magana, Leticia; Gaw, Stephanie; Robinson, Joshua
dc.date.accessioned2022-03-12T16:24:42Z
dc.date.accessioned2026-01-10T17:51:59Z
dc.date.available2022-03-12T16:24:42Z
dc.date.issued2020
dc.identifier.doidoiWOS:000525432601132
dc.identifier.eissn1933-7205
dc.identifier.issn1933-7191
dc.identifier.urihttps://hdl.handle.net/11424/226427
dc.identifier.wosWOS:000525432601132
dc.language.isoeng
dc.publisherSPRINGER HEIDELBERG
dc.relation.ispartofREPRODUCTIVE SCIENCES
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.titleA Meta-analysis of Transcriptomic Datasets to Identify Consistent Placental Biomarkers of Preterm Birth.
dc.typeconferenceObject
dspace.entity.typePublication
oaire.citation.endPage254A
oaire.citation.issueSUPPL 1
oaire.citation.startPage253A
oaire.citation.titleREPRODUCTIVE SCIENCES
oaire.citation.volume27

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