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Additional file 3 of Decoding temporal heterogeneity in NSCLC through machine learning and prognostic model construction
Additional file 3 of Decoding temporal heterogeneity in NSCLC through machine learning and prognostic model construction
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Figshare
2024-08-18 更新
2026-04-08 收录
肺癌预后
肿瘤时序异质性分析
数据链接:
https://springernature.figshare.com/articles/dataset/Additional_file_3_of_Decoding_temporal_heterogeneity_in_NSCLC_through_machine_learning_and_prognostic_model_construction/26733316/1
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资源简介:
Supplementary Material 3
应用场景:
提供机构:
Liu, Lei; Zhang, Min; Xiao, Meizhu; Jin, Qing; Xie, Hongbo; Chen, Xiujie; Zhang, Denan; Cheng, Junpeng; Li, Yanjiao; Fu, Zhijin; Meng, Qingkang
创建时间:
2024-08-15
相关数据集
Additional file 2 of Decoding temporal heterogeneity in NSCLC through machine learning and prognostic model construction
Supplementary Material 2
Figshare
2024-08-18 更新
5
0
Table12_Novel GIRlncRNA Signature for Predicting the Clinical Outcome and Therapeutic Response in NSCLC.xlsx
肺癌预后
GIRlncRNA生物标志物
Background: Non–small cell lung cancer (NSCLC) is highly malignant with driver somatic mutations and genomic instability. Long non-coding RNAs (lncRNAs) play a vital role in regulating these two aspec
NIAID Data Ecosystem
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0
The results of meta-analysis on NSCLC overall survival and p16 methylation.
肺癌预后
表观遗传生物标志物
MSP, Methylation-specific PCR; Q-MSP, quantitative methylation-specific PCR; FFPE, formalin-fixed paraffin-embedded; ADC, adenocarcinoma; Pts, patients.
Figshare
2015-12-02 更新
1
0
Multivariate regression analysis in predicting the overall survival of NSCLC patients.
肺癌预后
生存期预测
Multivariate regression analysis in predicting the overall survival of NSCLC patients.
Figshare
2015-12-02 更新
4
0
Factors associated with survival after BM in NSCLC.
肺癌预后
移植生存分析
Factors associated with survival after BM in NSCLC.
NIAID Data Ecosystem
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0
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