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2021-10-29 加入
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Integrated machine learning survival framework to decipher diverse cell death patterns for predicting prognosis in lung adenocarcinoma
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Deciphering key roles of B cells in prognostication and tailored therapeutic strategies for lung adenocarcinoma: a multi-omics and machine learning approach towards predictive, preventive, and personalized treatment strategies
6小时前
已完结
Machine learning framework develops neutrophil extracellular traps model for clinical outcome and immunotherapy response in lung adenocarcinoma
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The prognostic effect of single and multiple cancer-related somatic mutations in resected non-small-cell lung cancer
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Genomic alterations in thyroid cancer: biological and clinical insights
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Prognostic value of TP53 co-mutation status combined with EGFR mutation in patients with lung adenocarcinoma
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Systematic pan-cancer analysis of mutation–treatment interactions using large real-world clinicogenomics data
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Machine learning-based immune phenotypes correlate with STK11/KEAP1 co-mutations and prognosis in resectable NSCLC: a sub-study of the TNM-I trial
1个月前
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