Cite
Combination of GC-MS based metabolomics analysis with mouse xenograft models reveals a panel of dysregulated circulating metabolites and potential therapeutic targets for colorectal cancer
MLA
Haixing Ju, et al. “Combination of GC-MS Based Metabolomics Analysis with Mouse Xenograft Models Reveals a Panel of Dysregulated Circulating Metabolites and Potential Therapeutic Targets for Colorectal Cancer.” Translational Cancer Research, vol. 10, no. 4, Jan. 2021, pp. 1813–25. 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.....1411fe1524938a68dec37b627c2f1069&authtype=sso&custid=ns315887.
APA
Haixing Ju, Yang Chen, Juan Ni, Diandian Sun, Ningning Li, & Zhongjian Chen. (2021). Combination of GC-MS based metabolomics analysis with mouse xenograft models reveals a panel of dysregulated circulating metabolites and potential therapeutic targets for colorectal cancer. Translational Cancer Research, 10(4), 1813–1825.
Chicago
Haixing Ju, Yang Chen, Juan Ni, Diandian Sun, Ningning Li, and Zhongjian Chen. 2021. “Combination of GC-MS Based Metabolomics Analysis with Mouse Xenograft Models Reveals a Panel of Dysregulated Circulating Metabolites and Potential Therapeutic Targets for Colorectal Cancer.” Translational Cancer Research 10 (4): 1813–25. 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.....1411fe1524938a68dec37b627c2f1069&authtype=sso&custid=ns315887.