Statistical genetics is the use of statistical methods to find the genetic basis for complex diseases. Michigan Tech faculty have analyzed data sets related to such diseases as Type II Diabetes, Amyotrophic Lateral Sclerosis, and rheumatoid arthritis. Because of the size of the human genome, identifying specific genes that contribute to a disease requires extensive computational power.
Faculty Areas of Interests
Statistical Genetics; Statistics, especially smoothing techniques, analysis of contingency tables, and density estimation
Statistical genetics, especially wavelet-based methods; Combinatorial group theory; Low dimensional topology
Statistical Genetics; Applied Statistics
Statistical genetics; Bioinformatics; Theoretical Statistics