File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Corrigendum: Linnorm: improved statistical analysis for single cell RNA-seq expression data

TitleCorrigendum: Linnorm: improved statistical analysis for single cell RNA-seq expression data
Authors
Issue Date2017
Citation
Nucleic Acids Research, 2017, v. 45, n. 22, p. 13097 How to Cite?
AbstractHere, we use S(λ) to represent the homoscedasticity and S(λ) to represent the skewness of the dataset. V(λ) and S(λ) are combined using the Euclidian distance, where the square root is omitted because it is a monotonic function.
Persistent Identifierhttp://hdl.handle.net/10722/324504
ISSN
2023 Impact Factor: 16.6
2023 SCImago Journal Rankings: 7.048
PubMed Central ID
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorYip, Shun H.-
dc.contributor.authorWang, Panwen-
dc.contributor.authorKocher, Jean Pierre A.-
dc.contributor.authorSham, Pak Chung-
dc.contributor.authorWang, Junwen-
dc.date.accessioned2023-02-03T07:03:32Z-
dc.date.available2023-02-03T07:03:32Z-
dc.date.issued2017-
dc.identifier.citationNucleic Acids Research, 2017, v. 45, n. 22, p. 13097-
dc.identifier.issn0305-1048-
dc.identifier.urihttp://hdl.handle.net/10722/324504-
dc.description.abstractHere, we use S(λ) to represent the homoscedasticity and S(λ) to represent the skewness of the dataset. V(λ) and S(λ) are combined using the Euclidian distance, where the square root is omitted because it is a monotonic function.-
dc.languageeng-
dc.relation.ispartofNucleic Acids Research-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleCorrigendum: Linnorm: improved statistical analysis for single cell RNA-seq expression data-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1093/NAR/GKX1189-
dc.identifier.pmid29161425-
dc.identifier.pmcidPMC5728397-
dc.identifier.scopuseid_2-s2.0-85068494352-
dc.identifier.volume45-
dc.identifier.issue22-
dc.identifier.spage13097-
dc.identifier.eissn1362-4962-
dc.identifier.isiWOS:000419064400047-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats