Integrative omics analysis. A study based on Plasmodium falciparum mRNA and protein data.

ABSTRACT:

Background

Technological improvements have shifted the focus from data generation to data analysis. The availability of large amounts of data from transcriptomics, protemics and metabolomics experiments raise new questions concerning suitable integrative analysis methods. We compare three integrative analysis techniques (co-inertia analysis, generalized singular value decomposition and integrative biclustering) by applying them to gene and protein abundance data from the six life cycle stages of Plasmodium falciparum. Co-inertia analysis is an analysis method used to visualize and explore gene and protein data. The generalized singular value decomposition has shown its potential in the analysis of two transcriptome data sets. Integrative Biclustering applies biclustering to gene an

SUBMITTER: Tomescu OA 

PROVIDER: S-EPMC4101701 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature