首页/数据集/Transcription profiling of human colon cancer metastasis predicts recurrence and death in colon cancer patients (VMC Samples)

Transcription profiling of human colon cancer metastasis predicts recurrence and death in colon cancer patients (VMC Samples)

ChEBI2009-12-02 更新2026-07-21 收录

结肠癌转移转录组学

癌症预后模型

数据链接：

https://www.ebi.ac.uk/biostudies/ArrayExpress/studies/E-GEOD-17537 数据链接链接失效反馈

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资源简介：

Transcription profiling of human colon cancer metastasis predicts recurrence and death in colon cancer patients (VMC Samples)

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创建时间：

2009-12-02

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

NIAID Data Ecosystem120

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

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

original data and source code for manuscript in MOBI titled "Expression of the immunogenic cell death-associated gene signature predicts prognosis and therapy sensitivity of ovarian cancer” (Number: MOBI-D-23-01444)

癌症预后模型

免疫治疗生物标志物

I provide a comprehensive overview of the characteristic of immunogenic cell death-associated genes in ovarian cancer. By employing univariate and multivariate Cox regression and LASSO regression anal

Figshare2024-05-30 更新80

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

Transcription profiling of human colon cancer metastasis predicts recurrence and death in colon cancer patients (VMC Samples)

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