Data, Analysis, and Standardization

Gabriella Rustici; Andreas Scherer; John Quackenbush

Data, Analysis, and Standardization

Gabriella Rustici, Andreas Scherer, John Quackenbush

Suomen molekyylilääketieteen instituutti

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussa › Kirjan luku tai artikkeli › Tieteellinen › vertaisarvioitu

Abstrakti

‘Reporting noise’ is generated when data and their metadata are described, stored, and exchanged. Such noise can be minimized by developing and adopting data reporting standards, which are fundamental to the effective interpretation, analysis and integration of large data sets derived from high-throughput studies. Equally crucial is the development of experimental standards such as quality metrics and a consensus on data analysis pipelines, to ensure that results can be trusted, especially in clinical settings. This chapter provides a review of the initiatives currently developing and disseminating computational and experimental standards in biomedical research.

Alkuperäiskieli	englanti
Otsikko	Batch effects and Noise in Microarray Experiments: Sources and Solutions
Sivumäärä	15
Kustantaja	Wiley
Julkaisupäivä	2009
Sivut	215-230
ISBN (painettu)	978-0-470-74138-2
Tila	Julkaistu - 2009
OKM-julkaisutyyppi	A3 Kirjan tai muun kokoomateoksen osa

Tieteenalat

112 Tilastotiede

Pääsy asiakirjaan

http://www.the-batch-effect-book.org/

Siteeraa tätä

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