Cite
Multi-Omic Data Interpretation to Repurpose Subtype Specific Drug Candidates for Breast Cancer
MLA
Beste Turanli, et al. Multi-Omic Data Interpretation to Repurpose Subtype Specific Drug Candidates for Breast Cancer. May 2019. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi.dedup.....0925d5359dc28e6c5374d9139f0f5b82&authtype=sso&custid=ns315887.
APA
Beste Turanli, Kubra Karagoz, Gholamreza Bidkhori, Raghu Sinha, Michael L. Gatza, Mathias Uhlen, Adil Mardinoglu, & Kazim Yalcin Arga. (2019). Multi-Omic Data Interpretation to Repurpose Subtype Specific Drug Candidates for Breast Cancer.
Chicago
Beste Turanli, Kubra Karagoz, Gholamreza Bidkhori, Raghu Sinha, Michael L. Gatza, Mathias Uhlen, Adil Mardinoglu, and Kazim Yalcin Arga. 2019. “Multi-Omic Data Interpretation to Repurpose Subtype Specific Drug Candidates for Breast Cancer,” May. http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi.dedup.....0925d5359dc28e6c5374d9139f0f5b82&authtype=sso&custid=ns315887.