Data, Analysis, and Standardization

Gabriella Rustici; Andreas Scherer; John Quackenbush

Data, Analysis, and Standardization

Gabriella Rustici, Andreas Scherer, John Quackenbush

Institutet för molekylärmedicin i Finland

Forskningsoutput: Kapitel i bok/rapport/konferenshandling › Kapitel › Vetenskaplig › Peer review

Sammanfattning

‘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.

Originalspråk	engelska
Titel på värdpublikation	Batch effects and Noise in Microarray Experiments: Sources and Solutions
Antal sidor	15
Förlag	Wiley
Utgivningsdatum	2009
Sidor	215-230
ISBN (tryckt)	978-0-470-74138-2
Status	Publicerad - 2009
MoE-publikationstyp	A3 Del av bok eller annan forskningsbok

Vetenskapsgrenar

112 Statistik

Åtkomst av dokument

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

Citera det här

@inbook{2a01eb7ca20f41c2a3f74eb827794051,

title = "Data, Analysis, and Standardization",

abstract = "{\textquoteleft}Reporting noise{\textquoteright} 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.",

keywords = "112 Statistics and probability",

author = "Gabriella Rustici and Andreas Scherer and John Quackenbush",

year = "2009",

language = "English",

isbn = "978-0-470-74138-2",

pages = "215--230",

booktitle = "Batch effects and Noise in Microarray Experiments: Sources and Solutions",

publisher = "Wiley",

address = "United States",

}

TY - CHAP

T1 - Data, Analysis, and Standardization

AU - Rustici, Gabriella

AU - Scherer, Andreas

AU - Quackenbush, John

PY - 2009

Y1 - 2009

N2 - ‘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.

AB - ‘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.

KW - 112 Statistics and probability

M3 - Chapter

SN - 978-0-470-74138-2

SP - 215

EP - 230

BT - Batch effects and Noise in Microarray Experiments: Sources and Solutions

PB - Wiley

ER -