Su, F.; Gao, Z.; Liu, Y.; Zhou, G.; Cui, Y.; Deng, C.; Liu, Y.; Zhang, Y.; Ma, X.; Wang, Y.;
et al. Integrated Tissue and Blood miRNA Expression Profiles Identify Novel Biomarkers for Accurate Non-Invasive Diagnosis of Breast Cancer: Preliminary Results and Future Clinical Implications. Genes 2022, 13, 1931.
https://doi.org/10.3390/genes13111931
AMA Style
Su F, Gao Z, Liu Y, Zhou G, Cui Y, Deng C, Liu Y, Zhang Y, Ma X, Wang Y,
et al. Integrated Tissue and Blood miRNA Expression Profiles Identify Novel Biomarkers for Accurate Non-Invasive Diagnosis of Breast Cancer: Preliminary Results and Future Clinical Implications. Genes. 2022; 13(11):1931.
https://doi.org/10.3390/genes13111931
Chicago/Turabian Style
Su, Fei, Ziyu Gao, Yueyang Liu, Guiqin Zhou, Ying Cui, Chao Deng, Yuyu Liu, Yihao Zhang, Xiaoyan Ma, Yongxia Wang,
and et al. 2022. "Integrated Tissue and Blood miRNA Expression Profiles Identify Novel Biomarkers for Accurate Non-Invasive Diagnosis of Breast Cancer: Preliminary Results and Future Clinical Implications" Genes 13, no. 11: 1931.
https://doi.org/10.3390/genes13111931
APA Style
Su, F., Gao, Z., Liu, Y., Zhou, G., Cui, Y., Deng, C., Liu, Y., Zhang, Y., Ma, X., Wang, Y., Guan, L., Zhang, Y., & Liu, B.
(2022). Integrated Tissue and Blood miRNA Expression Profiles Identify Novel Biomarkers for Accurate Non-Invasive Diagnosis of Breast Cancer: Preliminary Results and Future Clinical Implications. Genes, 13(11), 1931.
https://doi.org/10.3390/genes13111931