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Identification of a gene expression signature for survival prediction in type I endometrial carcinoma

ChEBI2011-05-17 更新2026-07-21 收录

肿瘤生存预测

基因表达标志物

数据链接：

https://www.ebi.ac.uk/biostudies/ArrayExpress/studies/E-GEOD-21882 数据链接链接失效反馈

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Identification of a gene expression signature for survival prediction in type I endometrial carcinoma

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创建时间：

2011-05-17

癌症放射敏感性

基因表达标志物

Commercially available cell lines derived from Head and Neck Squamous cell carcinoma (HNSCC) were cultured and baseline gene expression values were assayed. We used microarrays to detail the global pr

NIAID Data Ecosystem70

Q-PCR primers and Taqman probes.

PCR检测设计

基因表达标志物

Given are: Gene ID, NCBI gene Identifier; Taqman probe, sense primer and antisense primer sequences. All sequence are given 5′ to 3′. Legend: Ribosomal protein genes ribo-L27 (AJ625928), actin (AJ6251

NIAID Data Ecosystem40

Profiles of immune infiltration in abdominal aortic aneurysm and their associated marker genes: a gene expression-based study

主动脉瘤免疫学

基因表达标志物

Immune-mediated inflammation plays a key role in the pathology of abdominal aortic aneurysm (AAA). We aimed to use a computational approach to profile the immune infiltration patterns and related core

Figshare2021-05-01 更新30

DataSheet_1_Development and validation of a deep learning model to predict survival of patients with esophageal cancer.docx

肿瘤生存预测

个体化治疗推荐

ObjectiveTo compare the performance of a deep learning survival network with the tumor, node, and metastasis (TNM) staging system in survival prediction and test the reliability of individual treatmen

NIAID Data Ecosystem40

Additional file 2 of Identification of molecular subgroups and establishment of risk model based on the response to oxidative stress to predict overall survival of patients with lung adenocarcinoma

腺癌分子分型

肿瘤生存预测

Additional file 2: Table S3. DEGs list in GSE31210 dataset.

NIAID Data Ecosystem30