Yongchao Ge, PhD

His research focuses on developments of statistical methods and tools for biological applications, especially in molecular genetics area. The emphasis is on understanding the massive data generated in functional genomics as a statistician. For example, in microarray data, he has done extensive work on finding differentially expressed genes, especially on false discovery rates and recently false discovery proportion for multiple testing problems. He is interested in many areas of microarrays: experimental design, normalization, clustering analysis and how to connect microarray data with clinical data and other biological data: sequence information, chip-seq, real time PCR, functional annotation, flow cytometry and proteomics data.