Discriminatory and Bioinformatics Analysis for Protein Biomarkers

Our biostatistics and bioinformatics experts can guide you through this process for your biomarker data and interpret the assay results. Discriminatory biomarker analyses allow you to discover and gain critical insights into biomarkers that show statistical difference between different groups. A variety of bioinformatics analyses are also available for your protein expression data. A standard descriptive statistics (including the heatmap, unsupervised hierarchical clustering and PCA plot) can be provided as a summary of the protein expression profiling. Other analyses will be tailed on the basis of the objectives of your specific study protocol, the data availability and complexity, include but are not limited to, the identification of differential protein expression, clustering, patient stratification, pathway and function enrichment analyses.