Batches and Blocks, Sample Pools and Subsamples in the Design and Analysis of Gene Expression Studies

Naomi Altman

doi:10.1002/9780470685983.ch4

Batches and Blocks, Sample Pools and Subsamples in the Design and Analysis of Gene Expression Studies

Naomi Altman

Statistics

Research output: Chapter in Book/Report/Conference proceeding › Chapter

3 Scopus citations

Abstract

Microarray experiments may have batch effects due to samples being collected or processed at different times or by different labs or investigators. Linear mixed models which incorporate the known sources of variation in the experiment can be used as design and analysis tools to assess and minimize the impact of batch effects and to determine the effects of design decisions such as sample pooling or splitting.

Original language	English (US)
Title of host publication	Batch Effects and Noise in Microarray Experiments
Subtitle of host publication	Sources and Solutions
Publisher	Wiley-Blackwell
Pages	33-50
Number of pages	18
ISBN (Electronic)	9780470685983
ISBN (Print)	9780470741382
DOIs	https://doi.org/10.1002/9780470685983.ch4
State	Published - Nov 2 2009

All Science Journal Classification (ASJC) codes

General Biochemistry, Genetics and Molecular Biology

Access to Document

10.1002/9780470685983.ch4

Cite this

@inbook{098ea3b0d26b402ab3385ff43474a3a4,

title = "Batches and Blocks, Sample Pools and Subsamples in the Design and Analysis of Gene Expression Studies",

abstract = "Microarray experiments may have batch effects due to samples being collected or processed at different times or by different labs or investigators. Linear mixed models which incorporate the known sources of variation in the experiment can be used as design and analysis tools to assess and minimize the impact of batch effects and to determine the effects of design decisions such as sample pooling or splitting.",

author = "Naomi Altman",

year = "2009",

month = nov,

day = "2",

doi = "10.1002/9780470685983.ch4",

language = "English (US)",

isbn = "9780470741382",

pages = "33--50",

booktitle = "Batch Effects and Noise in Microarray Experiments",

publisher = "Wiley-Blackwell",

address = "United States",

}

TY - CHAP

T1 - Batches and Blocks, Sample Pools and Subsamples in the Design and Analysis of Gene Expression Studies

AU - Altman, Naomi

PY - 2009/11/2

Y1 - 2009/11/2

N2 - Microarray experiments may have batch effects due to samples being collected or processed at different times or by different labs or investigators. Linear mixed models which incorporate the known sources of variation in the experiment can be used as design and analysis tools to assess and minimize the impact of batch effects and to determine the effects of design decisions such as sample pooling or splitting.

AB - Microarray experiments may have batch effects due to samples being collected or processed at different times or by different labs or investigators. Linear mixed models which incorporate the known sources of variation in the experiment can be used as design and analysis tools to assess and minimize the impact of batch effects and to determine the effects of design decisions such as sample pooling or splitting.

UR - http://www.scopus.com/inward/record.url?scp=84954425345&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84954425345&partnerID=8YFLogxK

U2 - 10.1002/9780470685983.ch4

DO - 10.1002/9780470685983.ch4

M3 - Chapter

AN - SCOPUS:84954425345

SN - 9780470741382

SP - 33

EP - 50

BT - Batch Effects and Noise in Microarray Experiments

PB - Wiley-Blackwell

ER -

Batches and Blocks, Sample Pools and Subsamples in the Design and Analysis of Gene Expression Studies

Abstract

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this