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X-WR-CALNAME:CANSSI Ontario STAGE
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UID:MEC-fa183ba81b8f82c988245d8d4e701366@stage.utoronto.ca
DTSTART:20240202T170000Z
DTEND:20240202T180000Z
DTSTAMP:20230418T225600Z
CREATED:20230418
LAST-MODIFIED:20260316
PRIORITY:5
SEQUENCE:32
TRANSP:OPAQUE
SUMMARY:STAGE ISSS: Michael Wu
DESCRIPTION:\nJoin us for the next instalment of the STAGE International Speaker Seminar Series (ISSS) with\n\n\n\nDr. Michael Wu\n\n\n\nProfessor, BiostatisticsFred Hutchinson Cancer CenterAffiliate Professor, BiostatisticsUniversity of Washington\n\n\n\nFree Hybrid (In person/Online) Event | Registration Required\n\n\n\nTalk Title:\n\n\n\nStatistics for Keeping your Microbiome Analyses out of the Toilet\n\n\n\nAbstract:\n\n\n\nMicrobiome profiling studies of hundreds to thousands of individuals are being conducted within existing epidemiologic cohorts. Analysis of data from these studies offers comprehensive identification of bacterial taxa related to a plethora of health outcomes. However, key characteristics of these studies (e.g. large sample size) also induce serious statistical challenges, particularly in combination with the difficulties inherent to microbiome data (e.g. high-dimensionality, sparsity, compositionality). Some challenges include accommodating batch effects and robustly identifying taxa related to outcomes. To address these problems, we propose novel batch correction and individual-taxon differential abundance testing frameworks. Our work is based on using two-part zero-inflated quantile regression which makes minimal distributional assumptions while accommodating the zero-inflated nature of the data. We illustrate our work through simulations and application to data from a number of large-scale microbiome studies including the CARDIA cohort and HIV Reanalysis Consortium.\n\n\n\nSpeaker Profile:\n\n\n\nMike Wu is a Professor in the Biostatistics Program at the Fred Hutchinson Cancer Center and an Affiliate Professor of Biostatistics at the University of Washington.\n\n\n\nMike’s group focuses on developing and applying statistical methods for complex omics data, with a recent focus on the human microbiome. The group has developed the MiRKAT method for conducting community-level microbiome analysis and the SKAT method for analysis of rare genetic variants, which now represent integral components of many analytic pipelines. Recently, the group has focused heavily on the analysis of large-scale microbiome profiling studies and multi-omics analysis, while also pursuing efforts in translational medicine.\n\n\n\nMike is a recipient of the W.J. Youden Award in interlaboratory testing from the American Statistical Association (ASA). He also received the inaugural Robert H. Riffenburgh award from the ASA for his contributions and impact from transferring machine learning approaches to microbiome and human genetics. Mike is an elected Fellow of the ASA and previously chaired the ASA Section on Statistics in Genomics and Genetics.\n\n\n\nMike completed a B.S. in Mathematical and Computational Science at Stanford University and a Ph.D. in Biostatistics from Harvard University. He then started his faculty career in the Department of Biostatistics at UNC Chapel Hill before being recruited to the Fred Hutchinson Cancer Center.\n\n\n\nSponsors:\n\n\n\nCANSSI Ontario STAGE (STAGE) is a training program in genetic epidemiology and statistical genetics housed at the University of Toronto Dalla Lana School of Public Health. It operates with financial and in-kind support from CANSSI Ontario, an extra-departmental unit in the Faculty of Arts & Science at U of T.\n\n\n\nSTAGE would like to thank our generous seminar sponsors!For a complete list of sponsors, please see here ( https://stage.utoronto.ca/sponsors/ ).\n\n\n\nPhotography Disclosure:\n\n\n\nPhotographs and/or video may be taken of participants at STAGE events. These photos/videos are for the Program’s use only and may appear on its website, in printed brochures, or in other promotional or reporting materials. By attending STAGE events, you accept the possibility that you may be videotaped or photographed. If you have any concerns, please inform us by sending an e-mail to esther.berzunza@utoronto.ca\n
URL:https://stage.utoronto.ca/events/stage-isss-michael-wu/
ORGANIZER;CN=CANSSI Ontario:MAILTO:esther.berzunza@utoronto.ca
CATEGORIES:CANSSI Ontario STAGE ISSS
LOCATION:9th Floor, 700 University Avenue, Toronto, ON M5G 1Z5
ATTACH;FMTTYPE=image/png:https://stage.utoronto.ca/wp-content/uploads/2023/04/michael-wu-e1701975283493.png
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