换一批
换一批Four differentially expressed genes can predict prognosis and microenvironment immune infiltration in lung cancer: a study based on data from the GEO.
作者：
主题词
算法(Algorithms);曲线下面积(Area Under Curve);羧肽酶类A(Carboxypeptidases A);数据库, 遗传学(Databases, Genetic);GTP结合蛋白质γ亚单位(GTP-Binding Protein gamma Subunits);基因表达调控, 肿瘤(Gene Expression Regulation, Neoplastic);人类(Humans);肺肿瘤(Lung Neoplasms);淋巴细胞, 肿瘤浸润(Lymphocytes, Tumor-Infiltrating);肿瘤蛋白质类(Neoplasm Proteins);核蛋白质类(Nuclear Proteins);预后(Prognosis);比例危险度模型(Proportional Hazards Models);受体, Fc(Receptors, Fc);危险因素(Risk Factors);肿瘤微环境(Tumor Microenvironment)
DOI
10.1186/s12885-022-09296-8
PMID
35184748
发布时间
2022-03-09
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BMC cancer
193页
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