Improved identification of concordant and discordant gene expression signatures using an updated ran...
Improved identification of concordant and discordant gene expression signatures using an updated rank-rank hypergeometric overlap approach
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Publisher
London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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Recent advances in large-scale gene expression profiling necessitate concurrent development of biostatistical approaches to reveal meaningful biological relationships. Most analyses rely on significance thresholds for identifying differentially expressed genes. We use an approach to compare gene expression datasets using ‘threshold-free’ comparison...
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Improved identification of concordant and discordant gene expression signatures using an updated rank-rank hypergeometric overlap approach
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TN_cdi_doaj_primary_oai_doaj_org_article_ea08d28b830a44899508fdecbeb39c8d
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ea08d28b830a44899508fdecbeb39c8d
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-018-27903-2
