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Activity Number: 158
Type: Invited
Date/Time: Monday, August 10, 2015 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Graphics
Abstract #314315
Title: Interactive Graphics for High-Dimensional Genetic Data
Author(s): Karl W. Broman*
Companies: University of Wisconsin - Madison
Keywords: graphics ; genetics ; big data ; interactive graphics ; D3 ; QTL
Abstract:

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, http://kbroman.org/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.


Authors who are presenting talks have a * after their name.

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