InfoHiC models for cancer Hi-C prediction (K562, 1Mb window, 10kb resolution)

NIAID Data Ecosystem2026-05-02 收录

染色质交互预测

癌症基因组数据

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https://zenodo.org/record/10547767 数据链接链接失效反馈

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InfoHiC models for cancer Hi-C prediction K562 1Mb window 10kb resolution CSCN encoding

创建时间：

2024-05-16

The most significantly differentially expressed genes between EAC G1 and USC G3.

癌症基因组数据

差异表达基因分析

Performed using data from The Cancer Genome Atlas, listed in order of log2 fold change. The top 10 upregulated and downregulated genes are shown. Log2 FC, log2 fold-change in gene expression for USC G

NIAID Data Ecosystem50

DataSheet_1_Driver Genes Associated With the Incidence of Venous Thromboembolism in Patients With Non-Small-Cell Lung Cancer: A Systematic Review and Meta-Analysis.docx

癌症基因组数据

血栓形成风险

BackgroundThe association between driver genes and the incidence of thromboembolic events (TEs) in patients diagnosed with non-small-cell lung cancer (NSCLC) needs to be quantified to guide clinical m

NIAID Data Ecosystem30

DataSheet_1_Genetic testing and prognosis of sarcomatoid hepatocellular carcinoma patients.zip

癌症基因组数据

精准医疗

BackgroundSarcomatoid hepatocellular carcinoma (SHC) is a rare epithelial malignancy with high invasiveness and poor prognosis. However, the molecular characteristics and main driver genes for SHC hav

NIAID Data Ecosystem10

Examples of cancer gene mutation orders with a predicted probability greater than random chance.

癌症基因组数据

基因突变预测

The examples in the table are selected based on that the genes have a mutant frequency greater than 40 in the COSMIC database to show the estimation for the common cases. Due to the limited space, the

Figshare2015-12-02 更新30

TCGA survival genomic data and pathway information

癌症基因组数据

生物信息学

TCGA survival genomic data (LUAD, ESCA and HNSCC) and pathway information (GO-CC, KEGG).

DataCite Commons2024-03-18 更新30