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Bioinformatics Advance Access originally published online on February 9, 2009
Bioinformatics 2009 25(6):701-702; doi:10.1093/bioinformatics/btp038
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© The Author 2009. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

Papers on normalization, variable selection, classification or clustering of microarray data

David M. Rocke , Trey Ideker , Olga Troyanskaya , John Quackenbush and Joaquin Dopazo

The first 10% of the full text of this article appears below.

Over the last decade or so, there have been large numbers of methods published on approaches for normalization, variable (gene) selection, classification and clustering of microarray data. As indicated in the scope document for Bioinformatics, this requires papers describing new methods for these problems to meet a very high standard, showing important improvement in results for real biological data, as well as novelty. In this editorial, we describe some standards that need to be met for papers in these areas to be seriously considered. We ask that prospective authors consider these points carefully before submission of their papers to Bioinformatics.

The role of simulation: Simulation can be useful in investigating the properties of various methods of data analysis. . . . [Full Text of this Article]


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