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Additional file 2 of A genomic-clinicopathologic Nomogram for the preoperative prediction of lymph node metastasis in gastric cancer

Figshare2021-04-23 更新2026-04-28 收录

癌症淋巴结转移预测

临床基因组学建模

数据链接：

https://figshare.com/articles/dataset/Additional_file_2_of_A_genomic-clinicopathologic_Nomogram_for_the_preoperative_prediction_of_lymph_node_metastasis_in_gastric_cancer/14478677 数据链接链接失效反馈

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资源简介：

Additional file 2. Verification set.

应用场景：

创建时间：

2021-04-23

癌症淋巴结转移预测

MRI放射组学

ObjectiveTo develop and validate a multiregional-based magnetic resonance imaging (MRI) radiomics model and combine it with clinical data for individual preoperative prediction of lymph node (LN) meta

NIAID Data Ecosystem50

Table_4_Novel, alternative splicing signature to detect lymph node metastasis in prostate adenocarcinoma with machine learning.xlsx

癌症淋巴结转移预测

剪接变异分析

BackgroundThe presence of lymph node metastasis leads to a poor prognosis for prostate cancer (Pca). Recently, many studies have indicated that gene signatures may be able to predict the status of lym

NIAID Data Ecosystem30

Supplementary Material for: Are Breast Cancer Nomograms Still Valid to Predict the Need for Axillary Dissection?

癌症淋巴结转移预测

临床决策模型

Background: Nomograms can help in estimating the nodal status among clinically node-negative patients. Yet their validity in external cohorts over time is unknown. If the nodal stage can be estimated

NIAID Data Ecosystem10

Additional file 9 of A genomic-clinicopathologic Nomogram for the preoperative prediction of lymph node metastasis in gastric cancer

癌症淋巴结转移预测

基因功能富集分析

Additional file 9. Metascape Analysis result.

Figshare2021-04-24 更新40

癌症淋巴结转移预测

临床决策模型

This record contains raw data related to article “External Validation and Comparison of Two Nomograms Predicting the Probability of Lymph Node Involvement in Patients subjected to Robot-Assisted Radic

NIAID Data Ecosystem20

Additional file 2 of A genomic-clinicopathologic Nomogram for the preoperative prediction of lymph node metastasis in gastric cancer

资源简介：

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