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.