raw data.zip
收藏DataCite Commons2025-03-12 更新2025-05-07 收录
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https://figshare.com/articles/dataset/raw_data_zip/28579784
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资源简介:
Lung cancer remains highly malignant worldwide, with rising incidence rates. This study aims to develop a predictive model using cell lines resistant to EGFR-tyrosine kinase inhibitors (EGFR-TKIs) to create a risk score predicting outcomes in lung cancer patients on EGFR-TKI therapy.
肺癌仍是全球范围内恶性程度极高的肿瘤,且发病率呈逐年上升趋势。本研究旨在利用针对表皮生长因子受体-酪氨酸激酶抑制剂(EGFR-tyrosine kinase inhibitors, EGFR-TKIs)的耐药细胞系构建预测模型,以生成可用于预测接受EGFR-TKI治疗的肺癌患者预后情况的风险评分。
提供机构:
figshare
创建时间:
2025-03-12



