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Bioinformatics Advance Access originally published online on February 22, 2008
Bioinformatics 2008 24(7):1033; doi:10.1093/bioinformatics/btn019
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© The Author 2008. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

Reply to ‘Comment on causality and pathway search in microarray time series experiment’

Nitai D. Mukhopadhyay 1,* and Snigdhansu Chatterjee 2

1Department of Biostatistics, Virginia Commonwealth University and 2Department of Statistics, University of Minnesota

*To whom correspondence should be addressed.

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

We thank Professors Nagarajan and Upreti for their interest in our paper, Mukhopadhyay and Chatterjee (2007). There, we propose using Granger causality-based pathway detection in an acyclic, homoscedastic framework for microarray time-series expressions; which are generally short-duration time series involving very large number of genes. Professors Nagarajan and Upreti point out that in the presence of heteroscedasticity, and a cycle like . . . [Full Text of this Article]


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