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TCP-Lab/transportome_profiler: Preprint - Version 1

Authors: Luca \\"Hedmad\\" Visentin; Federico Alessandro Ruffinatti;

TCP-Lab/transportome_profiler: Preprint - Version 1

Abstract

[Preprint] - Version 1 This is the first release of the transportome profiler analysis. A synopsis from the readme is below: This repository contains the code for the analysis on the expression profile of the transportome in Cancer based on the MTP-DB. Read the preprint here: Profiling the Expression of Transportome Genes in cancer: A systematic approach This is a two-step process. The database is queried for information by the script in src/geneset_maker. The algorithm generates gene sets ready for use by GSEA. We then generate a series of DEG tables with src/run_dea based on the comparison of gene expression from TCGA (cancer) and GTEx (healthy) tissues. Finally, GSEA is called by src/gsea_runner in a pre-ranked manner on all the DEG tables with all of the genesets, making enrichment tables. The enrichment tables are then processed by a script in src/gsea_runner to make enrichment plots.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Cancer Research