From co-expression to co-regulation: how many microarray experiments do we need?

From co-expression to co-regulation: how many microarray experiments do we need?

The ability to identify co-regulated genes from microarray clustering results is strongly dependent on the number of microarray experiments used in cluster analysis and the accuracy of these associations plateaus at between 50 and 100 experiments on yeast data. Even with large numbers of experiments...

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Main Authors: Yeung, Ka Yee, Medvedovic, Mario, Bumgarner, Roger E
Format: Online
Language:English
Published: BioMed Central 2004
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC463312/
id pubmed-463312
recordtype oai_dc
spelling pubmed-4633122004-07-16 From co-expression to co-regulation: how many microarray experiments do we need? Yeung, Ka Yee Medvedovic, Mario Bumgarner, Roger E Research The ability to identify co-regulated genes from microarray clustering results is strongly dependent on the number of microarray experiments used in cluster analysis and the accuracy of these associations plateaus at between 50 and 100 experiments on yeast data. Even with large numbers of experiments, the false positive rate may exceed the true positive rate. BioMed Central 2004 2004-06-28 /pmc/articles/PMC463312/ /pubmed/15239833 http://dx.doi.org/10.1186/gb-2004-5-7-r48 Text en Copyright © 2004 Yeung et al.; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL.
repository_type Open Access Journal
institution_category Foreign Institution
institution US National Center for Biotechnology Information
building NCBI PubMed
collection Online Access
language English
format Online
author Yeung, Ka Yee
Medvedovic, Mario
Bumgarner, Roger E
spellingShingle Yeung, Ka Yee
Medvedovic, Mario
Bumgarner, Roger E
From co-expression to co-regulation: how many microarray experiments do we need?
author_facet Yeung, Ka Yee
Medvedovic, Mario
Bumgarner, Roger E
author_sort Yeung, Ka Yee
title From co-expression to co-regulation: how many microarray experiments do we need?
title_short From co-expression to co-regulation: how many microarray experiments do we need?
title_full From co-expression to co-regulation: how many microarray experiments do we need?
title_fullStr From co-expression to co-regulation: how many microarray experiments do we need?
title_full_unstemmed From co-expression to co-regulation: how many microarray experiments do we need?
title_sort from co-expression to co-regulation: how many microarray experiments do we need?
description The ability to identify co-regulated genes from microarray clustering results is strongly dependent on the number of microarray experiments used in cluster analysis and the accuracy of these associations plateaus at between 50 and 100 experiments on yeast data. Even with large numbers of experiments, the false positive rate may exceed the true positive rate.
publisher BioMed Central
publishDate 2004
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC463312/
_version_ 1611369013729820672

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