[Colloquium] Fwd: [TTIC Talks] ML Seminar: Xiang Zhou

[Yang Shen]

A reminder that the talk will be in 20 minutes.

Best,
Yang

---------- Forwarded message ----------
From: Liv Leader <lleader at ttic.edu>
Date: Tue, Nov 27, 2012 at 5:03 PM
Subject: [TTIC Talks] ML Seminar: Xiang Zhou
To: machine-learning-seminar at ttic.edu


When:       Thursday the 29th @ 12:30

Where:      TTIC, 6045 S. Kenwood Avenue, Room #526

Speaker:    Xiang Zhou, Department of Human Genetics, University of Chicago

Title:          Polygenic Modeling with Bayesian Sparse Linear Mixed Models

Abstract:
*
*Both linear mixed models (LMMs) and sparse regression models are widely
used in genetics applications,
including, recently, polygenic modeling in genome-wide association studies.
These two approaches make very different assumptions, so are expected to
perform well in different situations. However, in practice, for a given
data set one typically
does not know which assumptions will be more accurate. Motivated by this,
we consider a hybrid of the
two, which we refer to as a “Bayesian sparse linear mixed model” (BSLMM)
that includes both these
models as special cases. We address several key computational and
statistical issues that arise when applying
BSLMM, including appropriate prior specification for the hyper-parameters,
and a novel Markov
chain Monte Carlo algorithm for posterior inference. We apply BSLMM and
compare it with other
methods for two polygenic modeling applications: estimating the proportion
of variance in phenotypes
explained (PVE) by available genotypes, and phenotype (or breeding value)
prediction. For estimating
PVE, we demonstrate that BSLMM combines the advantages of both standard
LMMs and sparse regression
modeling. For phenotype prediction it considerably outperforms either of
the other two methods,
as well as several other large-scale regression methods previously
suggested for this problem. Software
implementing our method is freely available from
http://stephenslab.uchicago.edu/software.html*
*
Host: Samory Kpotufe, samory at ttic.edu

-- 
Liv Leader
Director of Human Resources and International Affairs

Toyota Technological Institute Chicago
6045 S Kenwood Ave
Chicago, IL 60637
Phone- (773) 702-5033
Fax-     (773) 834-9881
Email-  lleader at ttic.edu
Web-   www.ttic.edu

-- 




*                                                            *

Yang Shen
Research Assistant Professor

Toyota Technological Institute at Chicago
6045 S. Kenwood Avenue
Tel  (773)834-8293 (o)
Url  http://www.ttic.edu/shen
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