Seminar

Harnessing Crowd-Sourcing to Select Genes based on Effect Size Using Visual Inference Methods

Thursday, 27 October 2016
Time: 
9.30am-10.30am
Melbourne School of Population and Global Health, Melbourne University
207 Bouverie St Seminar Room 515, Level 5
Carlton 3052
Australia

PLEASE NOTE:  This is very preliminary work, and unpublished as of yet. 

The volume of high-throughput data makes it a daunting prospect to plot, but relying primarily on false discovery rate adjusted p-values is not enough. Making plots of the data is essential to diagnose the models and understand the results. New work on inference for statistical graphics is used to examine high-throughput data. Initial validation experiments suggest that the results obtained reflect the strength of the effect size or signal in the data better than conventional p-values can capture. This has the potential to solve inconsistencies in results from different analysis methods and between choices made on the basis of fold change versus p-value.  Crowd-sourcing is done using Amazon's Mechanical Turk, and data is drawn from RNA-Seq experiments on soybean plants.

 
Professor Di Cook

Prof. Di Cook

Department of Econometrics and Business Statistics
Monash University

Di Cook is Professor of Business Analytics in the Department of Econometrics and Business Statistics at Monash University. She is a Fellow of the American Statistical Association. Her research is in data visualisation, exploratory data analysis, multivariate methods, data mining and statistical computing. She is currently working on bridging the gap between statistical inference and exploratory graphics, using crowd-sourcing experiments with Amazon's Mechanical Turk, and examining the reading of data plots using eye-tracking equipment. She is actively involved in developing open source software including xgobi, ggobi, and several R packages, nullabor, tourr, ggbio and ggenealogy. Professor Cook received a BSc majoring in Mathematics, Statistics and Biochemistry, from the University of New England, Armidale, and a MS and PhD in Statistics from Rutgers University, NJ, USA.

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