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Generating Explainable and Effective Data Descriptors Using Relational Learning: Application to Cancer Biology

Mendeley Data2020-06-12 更新2026-04-09 收录

癌症生物信息学

关系学习

数据链接：

https://data.mendeley.com/datasets/8mgyb6dyxv 数据链接链接失效反馈

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资源简介：

Datasets used in evaluation.

应用场景：

创建时间：

2020-06-12

胃癌基因表达

癌症生物信息学

In this dataset, we include the expression data obtained from gastric cancer tissues and gastric normal tissues to determine the differentially expressed genes in gastric cancer tissues. 90 tissues (4

NIAID Data Ecosystem80

Spearman correlation values for simplicial complex unmixing fractional estimates from TCGA breast cancer RNA-Seq data with TCGA-provided clinical subtypes.

癌症生物信息学

转录组-临床关联分析

P-values for the comparisons appear in parentheses. Significant values (p<0.01) are marked in bold.

NIAID Data Ecosystem30

R Skills Building for Cancer Scientists

癌症生物信息学

R语言数据分析训练

These datasets are being used in our course but are originally from the course run by the Bioinformatics Core at the Cancer Research UK Cambridge Institute (Contributions : Matthew Eldridge, Chandra C

NIAID Data Ecosystem20

Additional file 4: of IntLIM: integration using linear models of metabolomics and gene expression data

多组学数据整合

癌症生物信息学

Data S1. NCI-60 Results with FDR Adjusted p-value 0.50. (XLSX 104 kb)

Figshare2018-03-06 更新80

Additional file 1 of Computational identification and characterization of glioma candidate biomarkers through multi-omics integrative profiling

癌症生物信息学

基因表达分析

Additional file 1: Table S1. 15,176 genes’ RNA expression levels across 30 normal human tissues. Table S2. Tissue specificity τ values and maximum expression levels of the top 100 brain-specific prote

Figshare2024-02-26 更新20

Generating Explainable and Effective Data Descriptors Using Relational Learning: Application to Cancer Biology

资源简介：

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