Identification and Validation of Senescence-Related Signature by Combining Single Cell and Bulk Transcriptome Data Analysis to Predict the Prognosis and Identify the Key Gene CAV1 in Pancreatic Cancer

MLA

Chen L, et al. “Identification and Validation of Senescence-Related Signature by Combining Single Cell and Bulk Transcriptome Data Analysis to Predict the Prognosis and Identify the Key Gene CAV1 in Pancreatic Cancer.” Journal of Inflammation Research, vol. ume 17, Nov. 2024, pp. 9391–406. 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=edsdoj&AN=edsdoj.9db2775f17c94efd8932ff6bcea6194b&authtype=sso&custid=ns315887.

APA

Chen L, Ying X, Wang H, Xie J, Tang Q, & Liu W. (2024). Identification and Validation of Senescence-Related Signature by Combining Single Cell and Bulk Transcriptome Data Analysis to Predict the Prognosis and Identify the Key Gene CAV1 in Pancreatic Cancer. Journal of Inflammation Research, ume 17, 9391–9406.

Chicago

Chen L, Ying X, Wang H, Xie J, Tang Q, and Liu W. 2024. “Identification and Validation of Senescence-Related Signature by Combining Single Cell and Bulk Transcriptome Data Analysis to Predict the Prognosis and Identify the Key Gene CAV1 in Pancreatic Cancer.” Journal of Inflammation Research ume 17 (November): 9391–9406. 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=edsdoj&AN=edsdoj.9db2775f17c94efd8932ff6bcea6194b&authtype=sso&custid=ns315887.