aFold – using polynomial uncertainty modelling for differential gene expression estimation from RNA...
aFold – using polynomial uncertainty modelling for differential gene expression estimation from RNA sequencing data
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Publisher
England: BioMed Central Ltd
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English
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England: BioMed Central Ltd
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Contents
Data normalization and identification of significant differential expression represent crucial steps in RNA-Seq analysis. Many available tools rely on assumptions that are often not met by real data, including the common assumption of symmetrical distribution of up- and down-regulated genes, the presence of only few differentially expressed genes a...
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Full title
aFold – using polynomial uncertainty modelling for differential gene expression estimation from RNA sequencing data
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TN_cdi_doaj_primary_oai_doaj_org_article_4b139f025bb94e6196b449ae252d4726
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4b139f025bb94e6196b449ae252d4726
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ISSN
1471-2164
E-ISSN
1471-2164
DOI
10.1186/s12864-019-5686-1