Ontology type: schema:ScholarlyArticle Open Access: True
2014-12
AUTHORSMichael I Love, Wolfgang Huber, Simon Anders
ABSTRACTIn comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. We present DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression. The DESeq2 package is available at http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html webcite. More... »
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curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s13059-014-0550-8'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s13059-014-0550-8'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s13059-014-0550-8'
This table displays all metadata directly associated to this object as RDF triples.
308 TRIPLES
21 PREDICATES
94 URIs
28 LITERALS
16 BLANK NODES