PROGENy
PROGENy (Pathway RespOnsive GENes for activity inference) is a resource that leverages a large compendium of publicly available signaling perturbation experiments to yield a common core of pathway responsive genes for human and mouse. These pathway signatures, coupled with statistical methods, can be used to infer pathway activities from bulk or single-cell transcriptomics data. PROGENy is available as an R package on Bioconductor and supports analysis of both human and mouse data across 14 signaling pathways.
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Holland", "Jovan Tanevski", "Javier Perales-Pat\u00f3n", "Jan Gleixner", "Manu P. Kumar", "Elisabetta Mereu", "Brian A. Joughin", "Oliver Stegle", "Douglas A. Lauffenburger", "Holger Heyn", "Bence Szalai", "Julio Saez-Rodriguez"], "doi": "10.1186/s13059-020-1949-z", "id": "doi:10.1186/s13059-020-1949-z", "journal": "Genome Biology", "title": "Robustness and applicability of transcription factor and pathway analysis tools on single-cell RNA-seq data", "year": "2020"}], "repository": "https://github.com/saezlab/progeny", "synonyms": ["PROGENy", "Pathway RespOnsive GENes"], "taxon": ["NCBITaxon:9606", "NCBITaxon:10090"], "warnings": []}