首页/数据集/Discovering Common miRNA Signatures Underlying Female-Specific Cancers via a Machine Learning Approach Driven by the Cancer Hallmark ERBB

Discovering Common miRNA Signatures Underlying Female-Specific Cancers via a Machine Learning Approach Driven by the Cancer Hallmark ERBB

Name: Discovering Common miRNA Signatures Underlying Female-Specific Cancers via a Machine Learning Approach Driven by the Cancer Hallmark ERBB
Creator: Direzione Scientifica SDN
Published: 2026-04-09T12:25:48+08:00

Mendeley Data2026-04-09 收录

癌症生物标志物

女性特异性癌症分子机制

数据链接：

https://data.mendeley.com/datasets/ksdrhpgnkb 数据链接链接失效反馈

官方服务：

资源简介：

Scientific research for publishing the article

应用场景：

提供机构：

Direzione Scientifica SDN

癌症生物标志物

肿瘤免疫治疗靶点

IntroductionProstate adenocarcinoma (PRAD) is a highly aggressive malignancy with high mortality and poor prognosis, and its potential mechanism remains unclear. Our study aimed to identify novel mark

NIAID Data Ecosystem20

A Novel Three Serum Phospholipid Panel Differentiates Normal Individuals from Those with Prostate Cancer

癌症生物标志物

血清磷脂组学

BackgroundThe results of prostate specific antigen (PSA) and digital rectal examination (DRE) screenings lead to both under and over treatment of prostate cancer (PCa). As such, there is an urgent nee

Figshare2016-01-18 更新10

Raw data-Stacked autoencoders as new models for an accurate Alzheimer's disease classification support using resting-state EEG and MRI measurements

阿尔茨海默病辅助诊断

多模态神经影像分类

Raw data of the research work (unit SYNLAB SDN)

Mendeley Data10

Table_7_Pathway Instability Is an Effective New Mutation-Based Type of Cancer Biomarkers.XLSX

癌症生物标志物

通路突变分析

DNA mutations play a crucial role in cancer development and progression. Mutation profiles vary dramatically in different cancer types and between individual tumors. Mutations of several individual ge

NIAID Data Ecosystem20

DataSheet_2_Identification of adenylate cyclase 2 methylation in bladder cancer with implications for prognosis and immunosuppressive microenvironment.zip

癌症生物标志物

甲基化分析

BackgroundThe incidence and mortality of bladder cancer (BCa) are increasing, while the existing diagnostic methods have limitations. Therefore, for early detection and response prediction, it is cruc

NIAID Data Ecosystem10

Discovering Common miRNA Signatures Underlying Female-Specific Cancers via a Machine Learning Approach Driven by the Cancer Hallmark ERBB

资源简介：

相关数据集