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SBIlab/CESnet-repurposing: network data

NIAID Data Ecosystem2026-03-14 收录

癌症驱动基因

精准肿瘤学靶点发现

数据链接：

https://zenodo.org/record/7102789 数据链接链接失效反馈

官方服务：

资源简介：

Final network data used in "A co-essentiality network of cancer driver genes provides therapeutic opportunities in precision oncology".

应用场景：

创建时间：

2022-09-23

癌症驱动基因

转移性乳腺癌基因组学

Additional file 6: Table S13–S26. The list of mutated genes extracted by software tools for BRCA and MBCA, and comparison among these genes (p value ≤ 0.05) for MBCA

Figshare2021-05-08 更新50

Additional file 5: of Claudin-low-like mouse mammary tumors show distinct transcriptomic patterns uncoupled from genomic drivers

肿瘤分子分型

癌症驱动基因

Driver gene mutations in MPA/DMBA-induced tumors observed in the COSMIC database. (XLSX 37 kb)

Figshare2019-08-01 更新30

Additional file 4 of EARN: an ensemble machine learning algorithm to predict driver genes in metastatic breast cancer

癌症驱动基因

转移性乳腺癌基因组学

Additional file 4: Table S4–S7. List of positive/negative gene set for BRCA and MBCA. Table S8–S10. Homo_sapiens genes for BRCA and MBCA

NIAID Data Ecosystem30

Survival_ananlysis_driver_genes.txt

生存分析

癌症驱动基因

Survival analysis for driver genes in 48 lymphoma cases

DataCite Commons2020-08-26 更新50

Comparison of the results of the three settings of the BeWith schema on real and randomized UCEC data.

癌症驱动基因

生物网络模块化

We also performed additional evaluation of our method by running BeWith on simulated data to validate if BeWith indeed find modules with the desired properties in presence of random noise (See Section

NIAID Data Ecosystem30

SBIlab/CESnet-repurposing: network data

资源简介：

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