Research area category:

biomarker discovery

Biomarker discovery in high-throughput datasets

  • Microarray data mining: gene expression, proteomics, other omic data types
  • Feature selection in high-dimensional datasets
  • Early detection methods for various types of cancer
  • Survival analysis and medical prognosis
  • Molecular signatures for emerging personalized medicine

Physics-inspired biomarker discovery toolbox

Multi-disciplinary Insights has developed biomarker discovery tools that identify the smallest number of key variables most essential for a given biological context from high-throughput datasets. The algorithm is inspired by statistical physics of strongly interacting systems, and uncovers most sensitive predictor combinations for medical diagnosis and prognosis applications.

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