当前位置:
X-MOL 学术
›
Cancer Informatics
›
论文详情
Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
A BIRC5High COD1Low Cancer Tissue Phenotype Indicates Poorer Prognosis of Metastatic Breast Cancer Patients
Cancer Informatics Pub Date : 2022-06-14 , DOI: 10.1177/11769351221096655 Yujie Bai 1, 2 , Feng Yuan 3 , Jing Yu 4 , Yibei Si 1 , Yiwen Zheng 1 , Dongqing Li 1
Cancer Informatics Pub Date : 2022-06-14 , DOI: 10.1177/11769351221096655 Yujie Bai 1, 2 , Feng Yuan 3 , Jing Yu 4 , Yibei Si 1 , Yiwen Zheng 1 , Dongqing Li 1
Affiliation
Extensive data research is helpful to find sensitive biomarkers for prognostic prediction of metastatic breast cancer. Through analyzing multiple GEO datasets, literature retrieval, and verified in...
中文翻译:
BIRC5High COD1Low 癌症组织表型表明转移性乳腺癌患者预后较差
广泛的数据研究有助于找到用于预测转移性乳腺癌预后的敏感生物标志物。通过分析多个 GEO 数据集、文献检索,并在...
更新日期:2022-06-14
中文翻译:
BIRC5High COD1Low 癌症组织表型表明转移性乳腺癌患者预后较差
广泛的数据研究有助于找到用于预测转移性乳腺癌预后的敏感生物标志物。通过分析多个 GEO 数据集、文献检索,并在...