SciCross has experience in the analysis of data from a wide range of experimental platforms in a biomarker discovery setting. This involves all steps from initial study design to final analysis and putting results into context. In many cases this involves normalization of data from data capture (e.g. correction of batch effect), statistical analysis, exploratory analysis and contextualization (literature mining, pathway mapping). In most cases these projects are tailored to fit customer needs. Don’t hesitate to contact us for a discussion.
