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Interpretation of biological experiments changes with evolution of Gene Ontology and its annotations
[article]
2017
bioRxiv
pre-print
Gene Ontology (GO) enrichment analysis is ubiquitously used for interpreting high throughput molecular data and generating hypotheses about underlying biological phenomena of experiments. However, the two building blocks of this analysis - the ontology and the annotations - evolve rapidly. We used gene signatures derived from 104 disease analyses to systematically evaluate how enrichment analysis results were affected by evolution of the GO over a decade. We found low consistency between
doi:10.1101/228080
fatcat:vocqb2ttfrdqpp454yfy5o44fy