Yolande Tra|Ian S. Evans
Enhancing Interdisciplinary Mathematics and Biology Education: A Microarray Data Analysis Course Bridging These Disciplines
Rochester Institute of Technology
bio2010 put forth goal improving mathematical educational background biology students analysis interpretation microarray highdimensional data challenging best done statistician biologist working teaching collaborative manner set collaboration designed course microarray data analysis started using genome consortium active teaching gcat materials microarray genome clustering tool software added r statistical software along bioconductor packages response student feedback one microarray data set fully analyzed class starting preprocessing gene discovery pathway analysis using latter software class project conduct similar analysis students analyzed data data published journal paper exercise showed impact filtering preprocessing different normalization methods gene inclusion final data set conclude course achieved goals equip students skills analyze data microarray experiment offer insight collaborative teaching well faculty might design implement similar interdisciplinary course