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LncRNA profile study reveals a three-lncRNA signature associated with the survival of esophageal squamous cell carcinoma patients (original)

ChEBI2014-03-07 更新2026-07-21 收录

癌症预后模型

lncRNA生物标志物

数据链接：

https://www.ebi.ac.uk/biostudies/ArrayExpress/studies/E-GEOD-53624 数据链接链接失效反馈

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资源简介：

LncRNA profile study reveals a three-lncRNA signature associated with the survival of esophageal squamous cell carcinoma patients (original)

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创建时间：

2014-03-07

乳腺癌多组学

癌症预后模型

This dataset consists of the processed multi-omics data and clinical labels used for training and evaluating Moanna (https://github.com/rlupat/moanna). This dataset is processed based on raw files dow

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Table2_Identification and Validation of a Potent Multi-lncRNA Molecular Model for Predicting Gastric Cancer Prognosis.XLSX

癌症预后预测

lncRNA生物标志物

Gastric cancer (GC) remains the third deadliest malignancy in China. Despite the current understanding that the long noncoding RNAs (lncRNAs) play a pivotal function in the growth and progression of c

NIAID Data Ecosystem50

Data_Sheet_1_Expressional and Prognostic Value of S100A16 in Pancreatic Cancer Via Integrated Bioinformatics Analyses.zip

癌症生物标志物

癌症预后模型

Studies have shown that the calcium-binding protein family S100 may play a role in the development of pancreatic cancer (PC), but the role of S100A16 in PC is still unknown. In this study, Oncomine wa

NIAID Data Ecosystem30

Table3_Integration of single-cell and bulk RNA-seq to establish a predictive signature based on the differentiation trajectory of M2 macrophages in lung adenocarcinoma.XLSX

癌症预后模型

巨噬细胞分化

Background: Tumor-associated macrophages as important members of the tumor microenvironment, are highly plastic and heterogeneous. TAMs can be classified into two preliminary subtypes: M1 and M2 macro

NIAID Data Ecosystem70

Table1_Exploring a four-gene risk model based on doxorubicin resistance-associated lncRNAs in hepatocellular carcinoma.DOCX

癌细胞耐药性

癌症预后模型

Background: Liver cancer is a lethal cancer type among which hepatocellular carcinoma (HCC) is the most common manifestation globally. Drug resistance is a central problem impeding the efficiency of H

NIAID Data Ecosystem40

LncRNA profile study reveals a three-lncRNA signature associated with the survival of esophageal squamous cell carcinoma patients (original)

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