Olga Troyanskaya

Research Interests:  Bringing the capabilities of computer science and statistics to the study of gene function and regulation in the biological networks through integrated analysis of biological data from diverse data sources--both existing and yet to come (e.g. from diverse gene expression data sets and proteomic studies); Currently designing systematic and accurate computational and statistical algorithms for biological signal detection in high-throughput data sets; Developing methods for better gene expression data processing and algorithms for integrated analysis of biological data from multiple genomic data sets and different types of data sources (e.g. genomic sequences, gene expression, and proteomics data)