Hi everybody,
We are pleased to announce the release of our package acde for Artificial
Components-based detection of Differentially Expressed genes. This package
provides a multivariate inferential method for detecting differentially
expressed genes in gene expression data, while controlling the false discovery
rate. It works best on cDNA microarray data, but may provide useful insights
when used on other kinds of gene expression data. The methods on this package
are described in the vignette or in the article 'Multivariate Method for
Inferential Identification of Differentially Expressed Genes in Gene Expression
Experiments' by J. P. Acosta, L. Lopez-Kleine and S. Restrepo (available under
request and, we expect, soon to be published).
As always, we’ll be very grateful for any question, remark, comment, etc. about
the package.
Best regards,
Juan Pablo Acosta.
[[alternative HTML version deleted]]
_______________________________________________
Bioc-devel@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/bioc-devel
