Investigating the correspondence between transcriptomic and proteomic expression profiles using coupled cluster models.

ABSTRACT:

Motivation

Modern transcriptomics and proteomics enable us to survey the expression of RNAs and proteins at large scales. While these data are usually generated and analyzed separately, there is an increasing interest in comparing and co-analyzing transcriptome and proteome expression data. A major open question is whether transcriptome and proteome expression is linked and how it is coordinated.

Results

Here we have developed a probabilistic clustering model that permits analysis of the links between transcriptomic and proteomic profiles in a sensible and flexible manner. Our coupled mixture model defines a prior probability distribution over the component to which a protein profile should be assigned conditioned on which component the associated mRNA profile belongs to. We

SUBMITTER: Rogers S 

PROVIDER: S-EPMC4141638 | biostudies-literature | 2008 Dec

REPOSITORIES: biostudies-literature