Data files

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35 Data files visible to you, out of a total of 35

The table shows the number of valid terms, annotations and edges for 3 aspects from Jan 2015 to Dec 2021

The table shows the number of terms, annotations and edges from Jan 2015 to Dec 2021.

The table shows the top 20 nodes with the highest degree centrality score in BP, MF and CC

This file provides a full list of the PubMed IDs used as input to our survey of SARS-CoV2 enrichment analysis results

A list of the search terms used for identifying SARS-CoV2 studies involving enrichment analysis. A random sample of 100 papers were used as input to the experiment.

1222 patients

No description specified

For each module, GSEA analysis was conducted by using web-tool g:profiler and only biological process (BP) were retained. Parameters for GSEA are default.

Calculated by using R package GOSemSim.

Modules were identified by WGCNA. hub genes of each modules were identified based on intramodular degree.

No description specified
No description specified

Including 91 genes and 1222 Breast cancer patient This is an input data for WGCNA

Including 289 genes and 1222 Breast cancer patient This is an input data for WGCNA

Including 277 genes and 1222 Breast cancer patients. This is an input data for WGCNA.

Including 294 genes and 1222 Breast cancer Patient. This is an input data for WGCNA

Consensus between selected mapping methods.

Additional file 2

Additional File 1

Hallmark gene sets belong to different mapping schemes.

derived from Ulhen's research published in 2017.

The excel presents the mapping from GO terms to individual cancer hallmarks retrieved from selected papers.

It includes annotation number data at June 2012, June 2016 and Jan 2021.

related to Figure 6 and additional file 6

No description specified

it can be used to construct the GO network

It can be used to construct the GO network

columns are ' id' , 'ncbi_taxa_id' , 'common_names' , 'lineage_string' , 'genus' , 'species' , 'parent_id' , 'left_value' , 'right_value' , 'taxonomic_rank'.

columns are ' id' , 'ncbi_taxa_id' , 'common_names' , 'lineage_string' , 'genus' , 'species' , 'parent_id' , 'left_value' , 'right_value' , 'taxonomic_rank'.

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