Data Analysis

Large complexity of proteomic readouts generated by the various platforms we offer pose challenging data analysis and data management problems. Such volumes of data are too large to analyze by simple sorting in spreadsheets or plotting as graphs. We offer complementary data analysis services including:

  1. Parametric, non-parametric testing, and multiple correction testing
  2. Volcano plot [plotting significance vs fold change]
  3. Heatmap and clustering
  4. Disease pathway mapping using Cytoscape, Gene Ontology, KEGG and Ingenuity Pathway Analysis
  5. Principle Component Analysis
  6. Random Forest Analysis Machine Learning approaches
  7. Bayesian Analysis for predictive modeling
  8. For other services, please enquire.