首页/数据集/MiRNA-expression based, individualized outcome prediction for the cardiovascular disease patients

MiRNA-expression based, individualized outcome prediction for the cardiovascular disease patients

ChEBI2014-05-04 更新2026-07-21 收录

血管疾病预测

miRNA生物标志物

数据链接：

https://www.ebi.ac.uk/biostudies/ArrayExpress/studies/E-GEOD-53675 数据链接链接失效反馈

官方服务：

资源简介：

MiRNA-expression based, individualized outcome prediction for the cardiovascular disease patients

应用场景：

创建时间：

2014-05-04

神经内分泌肿瘤分子分型

miRNA生物标志物

Neuroendocrine neoplasms (NENs) are clinically diverse and incompletely characterized cancers that are challenging to classify. MicroRNAs (miRNAs) are small regulatory RNAs that can be used to classif

DataONE2020-06-16 更新70

Survival analysis–univariate cox regression.

血管疾病预测

心率变异性

Background Infective endocarditis (IE) is a disease that poses a serious health risk. It is important to identify high-risk patients early in the course of their treatment. In the current study, we ev

NIAID Data Ecosystem30

Table_3_Establishment of a 4-miRNA Prognostic Model for Risk Stratification of Patients With Pancreatic Adenocarcinoma.xlsx

癌症预后预测

miRNA生物标志物

Pancreatic adenocarcinomas (PAADs) often remain undiagnosed until later stages, limiting treatment options and leading to poor survival. The lack of robust biomarkers complicates PAAD prognosis, and p

NIAID Data Ecosystem20

Plasma circulating MiRNAs: a new potential biomarker for prostate cancer diagnosis.. Plasma circulating MiRNAs: a new potential biomarker for prostate cancer diagnosis.

前列腺癌诊断

miRNA生物标志物

Purpose: PCa is the second most commonly diagnosed malignancy in men. PCa Diagnosis are based on biopsy sampling that is an invasive, expensive procedure and does not accurately represent multifocal d

NIAID Data Ecosystem50

Determinants of excess genetic risk of acute myocardial infarction – a matched case-control study

心肌梗死生物标志物

血管疾病预测

Peripheral blood samples of patients with acute myocardial infarction were matched with those of control patients to identify possible differences in corresponding gene expression profiles. The contro

NIAID Data Ecosystem30

MiRNA-expression based, individualized outcome prediction for the cardiovascular disease patients

资源简介：

相关数据集