Cox regression analysis to identify predictors of EC development.

NIAID Data Ecosystem2026-03-09 收录

数据链接：

https://figshare.com/articles/dataset/_Cox_regression_analysis_to_identify_predictors_of_EC_development_/1193689 数据链接链接失效反馈

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资源简介：

Cox regression analysis to identify predictors of EC development.

创建时间：

2014-10-03

Unadjusted and adjusted Cox regression beta coefficients and hazard ratios (resampled T0-T1-T2 subcohort).

生存分析

Cox回归模型

Unadjusted and adjusted Cox regression beta coefficients and hazard ratios (resampled T0-T1-T2 subcohort).

NIAID Data Ecosystem30

Table_1_Tumor-Infiltrating Lymphocyte-Based Risk Score for Predicting Prognosis in Gastric Cancer.XLSX

癌症预后预测

肿瘤免疫微环境

Tumor-infiltrating lymphocytes (TILs) in gastric cancer are closely related to clinical prognosis; however, little is known regarding the immune microenvironment in this disease. Thus, RNA-sequencing

NIAID Data Ecosystem20

Table_1_A novel risk score model based on gamma-aminobutyric acid signature predicts the survival prognosis of patients with breast cancer.xlsx

癌症预后预测

肿瘤免疫微环境分析

BackgroundGamma-aminobutyric acid (GABA) participates in the migration, differentiation, and proliferation of tumor cells. However, the GABA-related risk signature has never been investigated. Hence,

NIAID Data Ecosystem10

Result of Cox proportionate hazard test for comparing the approach of adults, juveniles and pups with their latencies.

生存分析

行为反应

Result of Cox proportionate hazard test for comparing the approach of adults, juveniles and pups with their latencies.

NIAID Data Ecosystem30

DataSheet_1_A novel risk score model based on gamma-aminobutyric acid signature predicts the survival prognosis of patients with breast cancer.zip

癌症预后预测

肿瘤生物标志物

BackgroundGamma-aminobutyric acid (GABA) participates in the migration, differentiation, and proliferation of tumor cells. However, the GABA-related risk signature has never been investigated. Hence,

NIAID Data Ecosystem10

Cox regression analysis to identify predictors of EC development.

资源简介：

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