GO analysis of DEGs associated with NSCLC.

Figshare2019-11-14 更新2026-04-29 收录

癌症生物信息学

基因本体富集分析

数据链接：

https://figshare.com/articles/dataset/GO_analysis_of_DEGs_associated_with_NSCLC_/10308395 数据链接链接失效反馈

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资源简介：

GO analysis of DEGs associated with NSCLC.

创建时间：

2019-11-14

Additional file 4: of Integrated proteomics and network analysis identifies protein hubs and network alterations in Alzheimerâ s disease

阿尔茨海默病蛋白质组学

基因本体富集分析

Table S4. Gene ontology (GO) term enrichment for differentially expressed proteins in AD. The enriched GO terms with associated P values (Benjamini-Hochberg FDR corrected) for biological processes, ce

Figshare2023-06-01 更新100

Additional file 7 of Transcriptomic profiles of non-embryogenic and embryogenic callus cells in a highly regenerative upland cotton line (Gossypium hirsutum L.)

棉花再生生物学

基因本体富集分析

Additional file 7. Subcluster 2 GO enrichment. Gene ontology enrichment of subcluster 2 as determined by k-means clustering

NIAID Data Ecosystem30

Additional file 5 of Tissue dissociation for single-cell and single-nuclei RNA sequencing for low amounts of input material

单细胞转录组学

基因本体富集分析

Additional file 5: Table S5. GO analysis of cell clusters identified in scRNAseq.

Figshare2022-11-13 更新20

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

spongEffects scores calculated for 19 cancer types from TCGA

癌症生物信息学

ceRNA网络

spongEffects is a new method designed to infer modules from pre-computed competing endogenous RNA (ceRNA) networks. In addition, spongEffects calculates patient-level module enrichment scores (spongEf

Figshare2022-03-09 更新20

GO analysis of DEGs associated with NSCLC.

资源简介：

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