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  Microarrays: How Many Do You Need?

Zien, A., Fluck, J., Zimmer, R., & Lengauer, T. (2002). Microarrays: How Many Do You Need? In G. Myers, & S. Hannenhalli (Eds.), RECOMB '02: Sixth Annual International Conference on Computational Biology (pp. 321-330). New York, NY, USA: ACM Press.

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https://dl.acm.org/doi/10.1145/565196.565239 (Publisher version)
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 Creators:
Zien, A1, Author           
Fluck , J, Author
Zimmer, R, Author
Lengauer, T, Author
Affiliations:
1External Organizations, ou_persistent22              

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 Abstract: We estimate the number of microarrays that is required in order to gain reliable results from a common type of study: the pairwise comparison of different classes of samples. Current knowlegde seems to suffice for the construction of models that are realistic with respect to searches for individual differentially expressed genes. Such models allow to investigate the dependence of the required number of samples on the relevant parameters: the biological variability of the samples within each class; the fold changes in expression; the detection sensitivity of the microarrays; and the acceptable error rates of the results. We supply experimentalists with general conclusions as well as a freely accessible Java applet at http://cartan.gmd.de/~zien/classsize/ for fine tuning simulations to their particular actualities. Since the situation can be assumed to be very similar for large scale proteomics and metabolomics studies, our methods and results might also apply there.

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 Dates: 2002-04
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1145/565196.565239
BibTex Citekey: 2144
 Degree: -

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Title: Sixth Annual International Conference on Research in Computational Molecular Biology (RECOMB 2002)
Place of Event: Washington, DC, USA
Start-/End Date: 2002-04-18 - 2002-04-21

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Title: RECOMB '02: Sixth Annual International Conference on Computational Biology
Source Genre: Proceedings
 Creator(s):
Myers, G, Editor
Hannenhalli , S, Editor
Affiliations:
-
Publ. Info: New York, NY, USA : ACM Press
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 321 - 330 Identifier: ISBN: 978-1-58113-498-8