SMS scnews item created by John Ormerod at Wed 9 Aug 2017 1139
Type: Seminar
Distribution: World
Expiry: 11 Aug 2017
Calendar1: 11 Aug 2017 1400-1500
CalLoc1: Carslaw 173
CalTitle1: Quantitation in Colocalization Analysis: Beyond "Red + Yellow = Green"
Auth: jormerod@pjormerod5.pc (assumed)

# Statistics Seminar: Ming Yuan (University of Wisconsin-Madison) -- Quantitation in Colocalization Analysis: Beyond "Red + Yellow = Green"



"I see yellow; therefore, there is colocalization.â€ Is it really so simple when it
comes to colocalization studies? Unfortunately, and fortunately, no. Colocalization
is in fact a supremely powerful technique for scientists who want to take full
advantage of what optical microscopy has to offer: quantitative, correlative
information together with spatial resolution. Yet, methods for colocalization have
been put into doubt now that images are no longer considered simple visual
representations. Colocalization studies have notoriously been subject to
misinterpretation due to difficulties in robust quantification and, more importantly,
reproducibility, which results in a constant source of confusion, frustration, and
error. In this talk, I will share some of our effort and progress to ease such
challenges using novel statistical and computational tools.

Bio: Ming Yuan is Senior Investigator at Morgridge Institute for Research and
Professor of Statistics at Columbia University and University of Wisconsin-Madison.
He was previously Coca-Cola Junior Professor in the H. Milton School of Industrial
and Systems Engineering at Georgia Institute of Technology. He received his Ph.D.
in Statistics and M.S. in Computer Science from University of Wisconsin-Madison.
His main research interests lie in theory, methods and applications of data mining
and statistical learning. Dr. Yuan has been serving on editorial boards of various
top journals including The Annals of Statistics, Bernoulli, Biometrics, Electronic
Journal of Statistics, Journal of the American Statistical Association, Journal of
the Royal Statistical Society Series B, and Statistical Science. Dr. Yuan was
awarded the John van Ryzin Award in 2004 by ENAR, CAREER Award in 2009 by NSF, and
Guy Medal in Bronze from the Royal Statistical Society in 2014. He was also named a
Fellow of IMS in 2015, and a Medallion Lecturer of IMS.


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