Gene enrichment analysis output of modules Version 1
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.
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module enrichment results.rar
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Created: 7th Feb 2021 at 23:42
Last updated: 9th Feb 2021 at 10:42
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Version 1 (earliest) Created 7th Feb 2021 at 23:42 by Yi Chen
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Projects: Consensus Hallmark Annotation, FAIR Functional Enrichment, The evolution of Gene Ontology
Institutions: University of Leiden, LIACS
Projects: Consensus Hallmark Annotation, The evolution of Gene Ontology
Web page: Not specified
Data and experimental methods to support the work in the following paper:
Establishing Consensus Annotation for the Hallmarks of Cancer, 2020, Yi Chen, F.J.Verbeek and K.Wolstencroft, in submission
Programme: Hallmarks of cancer
Public web page: Not specified
The hallmarks of cancer provide a highly cited and well-used conceptual framework for describing the processes involved in cancer cell development. However, methods for translating these high-level concepts into data-level associations between hallmarks and genes (for high throughput analysis), vary widely between studies. In this investigation we compare cancer hallmark mapping strategies from different studies, based on Gene Ontology and biological pathway annotation. By analysing the semantic ...
Submitter: Katy Wolstencroft
Studies: Comparing Cancer Hallmark Descriptions, Evolution of Gene Ontology Terms, Prognostic and Hallmark Gene Networks
Assays: Analysing Changes to GO Biological Process, Annotation Consensus and GO Consensus, Hub genes of modules and enriched GO terms, Jaccard Index Prognostic Hallmark Genes, WGCNA Prognostic Hallmark Genes
This study examines how different hallmark gene datasets intersect with prognostic cancer genes
Submitter: Katy Wolstencroft
Investigation: Cancer Hallmark Consensus
Assays: Hub genes of modules and enriched GO terms, Jaccard Index Prognostic Hallmark Genes, WGCNA Prognostic Hallmark Genes
this assay include the hub genes of modules from different mapping schemes with highly functional similarities.
Submitter: Yi Chen
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: Cancer Hallmark Consensus
