BioConductor

acde 1.9.0

Artificial Components Detection of Differentially Expressed Genes

Released Feb 25, 2015 by Juan Pablo Acosta

This package cannot yet be used with Renjin because there was a problem building the package using Renjin's toolchain. View Build Log An older version of this package is more compatible with Renjin.

Dependencies

boot 1.3-20

This package provides a multivariate inferential analysis method for detecting differentially expressed genes in gene expression data. It uses artificial components, close to the data's principal components but with an exact interpretation in terms of differential genetic expression, to identify differentially expressed genes while controlling the false discovery rate (FDR). 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 (2015, pending publication).

Test Results

This package was last tested against Renjin 0.9.2587 on Jan 20, 2018.

Source

R

Release History