{"id":45613,"date":"2023-11-20T05:24:15","date_gmt":"2023-11-20T11:24:15","guid":{"rendered":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/tcga-breast-radiogenomics-pub\/"},"modified":"2023-11-20T05:24:15","modified_gmt":"2023-11-20T11:24:15","slug":"tcga-breast-radiogenomics-pub","status":"publish","type":"tcia_citation","link":"https:\/\/stage.cancerimagingarchive.net\/tcia-citation\/tcga-breast-radiogenomics-pub\/","title":{"rendered":"TCGA-BREAST-RADIOGENOMICS-PUB"},"template":"","class_list":["post-45613","tcia_citation","type-tcia_citation","status-publish"],"tcia_citation_type":"Publication Citation","tcia_citation_text":"<p><span>Guo, W., Li, H., Zhu, Y., Lan, L., Yang, S., Drukker, K., Morris, E., Burnside, E., Whitman, G., Giger, M. L., Ji, Y., &amp; TCGA Breast Phenotype Research Group. (2015). <strong>Prediction of clinical phenotypes in invasive breast carcinomas from the integration of radiomics and genomics data<\/strong>. Journal of Medical Imaging, 2(4), 041007. <a href=\"https:\/\/doi.org\/10.1117\/1.jmi.2.4.041007\">https:\/\/doi.org\/10.1117\/1.jmi.2.4.041007<\/a><\/span><\/p>\n","tcia_citation_statement":"","tcia_citation_doi":"10.1117\/1.jmi.2.4.041007","_links":{"self":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/citations\/45613","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/citations"}],"about":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/types\/tcia_citation"}],"wp:attachment":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/media?parent=45613"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}