Machine Learning Algorithms
for Clinical and Research Microarray Data Analysis
Mining Microarray Data to Discover:
Disease Biomarkers & Complex Genetic Relationships
Biomind LLC WHITE PAPER
January 2006
Molecular biomarkers associated with disease and disease predisposition may be used for diagnostic purposes in the early detection and characterization of various disorders. Microarray and SNP data have been used extensively based upon their respectively high resolution of gene expression and polymorphism. And, while diagnostic, pharmacogenomic, and research uses for such biomarkers have proliferated, methods for their identification have standardized. Biomind has developed software which sifts through large, complex microarray datasets to accurately identify biomarkers implicit in clinical disease data. The software uses machine learning algorithms which integrate the Gene Ontology (GO) and Protein Information Resource (PIR).
