[metagenomics-jclub] "Statistical Methods for Analysis of Gut Microbiome Data" seminar

[Terence Marsh]

actually the seminar is at 4PM in fee


Terence L. Marsh, Ph.D.
Department of Microbiology and Molecular Genetics
2209 Biomedical & Physical Sciences
Michigan State University
East Lansing, MI 48824
Office - 517-884-5391
Lab - 517-884-5382
marsht at msu.edu




On Apr 23, 2012, at 8:54 PM, Fan Yang wrote:

> It seems like an interesting one. It's on Thursday April 26th, 1pm  
> in room E4 Fee Hall. Details see beneath.
>
> Fan
>
> ---------- Forwarded message ----------
> From: Terence L. Marsh <marsht at msu.edu>
> Date: Mon, Apr 23, 2012 at 4:38 PM
> Subject: Fwd: Hongzhe Li seminar
> To: Fan Yang <yangfan1 at egr.msu.edu>, Masanori Fujimoto <masafujimot2 at gmail.com 
> >
>
>
> This seminar might be interesting from a statistical point of view.
>
> -------- Original Message --------
> Subject:	Hongzhe Li seminar
> Date:	Mon, 23 Apr 2012 16:13:48 -0400
> From:	Claudia Holzman <holzman at epi.msu.edu>
> To:	Terence Marsh <marsht at msu.edu>
>
> Hi Terry,
>
> Our research group is scheduled to meet this Thursday, April 26 with  
> the Epi Speaker, Hongzhe Li ( see below, seminar at 4PM) at 1PM here  
> at 6th Floor Fee. Are you interested in joining in?
>
>
>
> Also please alert any of your colleagues who may want to attend the  
> seminar.
>
> Thanks,
>
> Claudia
>
>
>
> Claudia Holzman, D.V.M, M.P.H, Ph.D.
>
> Professor and Chair of the Department of Epidemiology and  
> Biostatistics
>
> College of Human Medicine
>
> 646 West Fee Hall
>
> Michigan State University
>
> East Lansing, Michigan 48824
>
>
>
> Telephone: (517) 353-8623
>
> Fax: (517) 432-1130
>
> Email: Holzman at msu.edu
>
>
>
>
>
> From: Nancy Bieber
> Sent: Monday, April 23, 2012 2:42 PM
> To: Nancy Bieber
> Subject: Hongzhe Li seminar lunch and talk Thurs April 26
> Importance: High
>
>
>
> Please don’t forget to RSVP so we know how much pizza to order! -  
> Nancy
>
>
>
>
>
>
> Dear Epi students, postdocs and faculty,
> Hongzhe Li,  Professor of Biostatistics in Biostatistics and  
> Epidemiology, U of Pennysylvania, will visit MSU to present an Epi  
> departmental seminar on "Statistical Methods for Analysis of Gut  
> Microbiome Data” on Thursday April 26th 4:00 p.m. E4 Fee Hall.
>
> BACKGROUND READING: Dr Li has suggested the Science paper "Linking  
> Long-Term Dietary Patterns with Gut Microbial Enterotypes" at
> http://www.sciencemag.org.proxy2.cl.msu.edu/content/334/6052/105.full?sid=02312a38-abd2-48f9-bf47-6404913434b2
>
> LUNCH:  We scheduled a pizza and fruit lunch for students and  
> faculty for informal discussion with Dr Li in the Central Conference  
> room at 11:45 AM.  Please send Nancy your RSVP if you will  
> participate in the lunch!
> Thanks,
> Madeleine
>
>
> "Statistical Methods for Analysis of Gut Microbiome Data"
> Abstract:
> With the development of next generation sequencing technology,  
> researchers have now been able to study the microbiome composition  
> using direct sequencing, whose output are taxa counts for each  
> microbiome sample. One goal of microbiome study is to associate the  
> microbiome composition with environmental covariates. In some cases,  
> we may have a large number of covariates and identification of the  
> relevant covariates and their associated bacterial taxa becomes  
> important. In this talk, I present several statistical methods for  
> analysis of the human microbiome data, including exploratory  
> analysis methods such as generalized
> UniFrac distances and graph-constrained canonical correlations and  
> statistical models for the count data and simplex data. In  
> particular, I present a sparse group variable selection method for  
> Dirichlet-multinomial
> regression to account for overdispersion of the counts  and to  
> impose a sparse group L1 penalty to encourage both group-level  and  
> within-group  sparsity. I demonstrate the application of these methods
> with an on-going human gut microbiome study to investigate the  
> association between nutrient intake and  microbiome composition.  
> Finally, I present several challenging  statistical and  
> computational problems in analysis of shotgun metagenomics data.
>
>
>
>
>
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