Interactive Graphics for High-Dimensional Genetic Data

Friday, 13 February 2015: 1:30 PM-4:30 PM
Room 230C (San Jose Convention Center)
Karl W. Broman, University of Wisconsin, Madison, WI
The value of interactive graphics for making sense of high-dimensional data has long been appreciated but is still not in routine use. I will describe my efforts to develop interactive graphical tools for genetic data, using JavaScript and D3. (The tools are available as an R package: R/qtlcharts,

I will focus on an expression genetics experiment in the mouse, with gene expression microarray data on each of six tissues, plus high-density genotype data, in each of 500 mice. I argue that in research with such data, precise statistical inference is not so important as data visualization.