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Additional file 4 of A risk model of gene signatures for predicting platinum response and survival in ovarian cancer
Additional file 4 of A risk model of gene signatures for predicting platinum response and survival in ovarian cancer
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Figshare
2024-02-09 更新
2026-04-08 收录
卵巢癌精准医疗
基因特征预测
数据链接:
https://springernature.figshare.com/articles/dataset/Additional_file_4_of_A_risk_model_of_gene_signatures_for_predicting_platinum_response_and_survival_in_ovarian_cancer/19498066/1
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资源简介:
Additional file 4.
应用场景:
提供机构:
Zheng, Zhong; Wu, Yong; Wu, Jiangchun; Chen, Siyu; Wang, Simin; Wu, Xiaohua
创建时间:
2022-04-02
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Additional file 3 of A machine learning-based gene signature of response to the novel alkylating agent LP-184 distinguishes its potential tumor indications
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Additional file 3: Table S1. List of tumor types covered in the test set of 1000 CCLE cell lines.
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Additional file 3 of A risk model of gene signatures for predicting platinum response and survival in ovarian cancer
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Additional file 3.
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Association between the 18-gene signature score and response to treatment (mean signature score is given).
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1Near-complete pathologic response,2Pathologic complete response,3No response,4Partial respons,5Mann-Whitney U test,6Residual disease.
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Additional file 9 of A risk model of gene signatures for predicting platinum response and survival in ovarian cancer
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Additional file 9.
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Additional file 8: Table S5. of A novel genomic signature predicting FDG uptake in diverse metastatic tumors
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List of PLS-3 probes with VIP values equal or greater than 1 along with their regression coefficients. (XLSX 34 kb)
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