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ARSyN: a method for the identification and removal of systematic noise in multifactorial time-course microarray experiments

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ARSyN: a method for the identification and removal of systematic noise in multifactorial time-course microarray experiments

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Nueda, MJ.; Ferrer Riquelme, AJ.; Conesa, A. (2011). ARSyN: a method for the identification and removal of systematic noise in multifactorial time-course microarray experiments. Biostatistics. 13(3):553-566. doi:10.1093/biostatistics/kxr042

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/34665

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Title: ARSyN: a method for the identification and removal of systematic noise in multifactorial time-course microarray experiments
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat
Issued date:
Abstract:
Transcriptomic profiling experiments that aim to the identification of responsive genes in specific biological conditions are commonly set up under defined experimental designs that try to assess the effects of factors ...[+]
Subjects: Analysis of variance , Batch effect , Microarrays , Principal components analysis , Systematic noise.
Copyrigths: Reserva de todos los derechos
Source:
Biostatistics. (issn: 1465-4644 )
DOI: 10.1093/biostatistics/kxr042
Publisher:
Oxford University Press (OUP): Policy B - Oxford Open Option A
Publisher version: http://biostatistics.oxfordjournals.org/content/13/3/553.full.pdf+html
Thanks:
Spanish MICINN Project (BIO2008-04368-E and DPI2008-06880-C03-03/DPI).
Type: Artículo

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