GEOlimma: differential expression analysis and feature selection using pre-existing microarray data
GEOlimma: differential expression analysis and feature selection using pre-existing microarray data
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Publisher
England: BioMed Central Ltd
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Language
English
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Publisher
England: BioMed Central Ltd
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Scope and Contents
Contents
Differential expression and feature selection analyses are essential steps for the development of accurate diagnostic/prognostic classifiers of complicated human diseases using transcriptomics data. These steps are particularly challenging due to the curse of dimensionality and the presence of technical and biological noise. A promising strategy fo...
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Full title
GEOlimma: differential expression analysis and feature selection using pre-existing microarray data
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_d411e036ae364bee93a34bff088956fe
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d411e036ae364bee93a34bff088956fe
Other Identifiers
ISSN
1471-2105
E-ISSN
1471-2105
DOI
10.1186/s12859-020-03932-5
