Sunia A. Trauger,Ewa Kalisak ,J,Gary Siuzdak et. al.Correlating theTranscriptome, Proteome, and Metabolome in the Environmental Adaptation of aHyperthermophile. Journal of Proteome Research 2008, 7, 1027–1035 1027.
 Cho K et al. Integrated transcriptomics, proteomics, and metabolomicsanalyses to survey ozone responses in the leaves of rice seedling. J ProteomeRes. 2008Jul;7(7):2980-98.
 Coen M et al. Integrated application of transcriptomics and metabonomics yields new insight into the toxicity due to paracetamol in the mouse. J Pharm Biomed Anal. 2004 Apr 1;35(1):93-105.
 Espinoza C et al. Interaction with diurnal and circadian regulation resultsin dynamic metabolic and transcriptional changes during cold acclimation in Arabidopsis. PLoS One. 2010 Nov 23;5(11):e14101.
 Bono H et al. Comprehensive analysis of the mouse metabolome based on the transcriptome. Genome Res. 2003 Jun;13(6B):1345-9.
 Kanani H et al. Individual vs. combinatorial effect of elevated CO2conditions and salinity stress on Arabidopsis thaliana liquid cultures:comparing the early
 Mantel, N., The Detection of Disease Clustering and a Generalized Regression Approach. Cancer Research, 1967. 27(2 Part 1): p. 209-220.
Gower, J.C., Generalized procrustes analysis. Psychometrika, 1975. 40(1): p. 33-51.
Dray, S., D. Chessel, and J. Thioulouse, Co-inertia analysis and the linking of ecological data tables.Ecology, 2003. 84(11): p. 3078-3089.