{ "_id": "6a494d30f6c47c4419499aca", "Package": "gage", "Type": "Package", "Title": "Generally Applicable Gene-set Enrichment for Pathway Analysis", "Version": "2.63.0", "Date": "2022-08-26", "Author": "Weijun Luo", "Maintainer": "Weijun Luo ", "Description": "GAGE is a published method for gene set (enrichment or\nGSEA) or pathway analysis. GAGE is generally applicable\nindependent of microarray or RNA-Seq data attributes including\nsample sizes, experimental designs, assay platforms, and other\ntypes of heterogeneity, and consistently achieves superior\nperformance over other frequently used methods. In gage\npackage, we provide functions for basic GAGE analysis, result\nprocessing and presentation. We have also built pipeline\nroutines for of multiple GAGE analyses in a batch, comparison\nbetween parallel analyses, and combined analysis of\nheterogeneous data from different sources/studies. In addition,\nwe provide demo microarray data and commonly used gene set data\nbased on KEGG pathways and GO terms. 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