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RCRNORM: AN INTEGRATED SYSTEM OF RANDOM-COEFFICIENT HIERARCHICAL REGRESSION MODELS FOR NORMALIZING N...

RCRNORM: AN INTEGRATED SYSTEM OF RANDOM-COEFFICIENT HIERARCHICAL REGRESSION MODELS FOR NORMALIZING N...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7869841

RCRNORM: AN INTEGRATED SYSTEM OF RANDOM-COEFFICIENT HIERARCHICAL REGRESSION MODELS FOR NORMALIZING NANOSTRING NCOUNTER DATA

About this item

Full title

RCRNORM: AN INTEGRATED SYSTEM OF RANDOM-COEFFICIENT HIERARCHICAL REGRESSION MODELS FOR NORMALIZING NANOSTRING NCOUNTER DATA

Publisher

United States: Institute of Mathematical Statistics

Journal title

The annals of applied statistics, 2019-09, Vol.13 (3), p.1617-1647

Language

English

Formats

Publication information

Publisher

United States: Institute of Mathematical Statistics

More information

Scope and Contents

Contents

Formalin-fixed paraffin-embedded (FFPE) samples have great potential for biomarker discovery, retrospective studies and diagnosis or prognosis of diseases. Their application, however, is hindered by the unsatisfactory performance of traditional gene expression profiling techniques on damaged RNAs. NanoString nCounter platform is well suited for pro...

Alternative Titles

Full title

RCRNORM: AN INTEGRATED SYSTEM OF RANDOM-COEFFICIENT HIERARCHICAL REGRESSION MODELS FOR NORMALIZING NANOSTRING NCOUNTER DATA

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7869841

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7869841

Other Identifiers

ISSN

1932-6157

E-ISSN

1941-7330

DOI

10.1214/19-AOAS1249

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