CANSSI Prairies Workshop: Statistical Network Analysis for Omics Data

CANSSI Prairies is a regional centre that aims to strengthen and support the statistical sciences community in Manitoba, Saskatchewan, the Northwest Territories, and Nunavut, and to build fruitful relationships with partners and the broader statistical sciences community across Canada.

CANSSI Prairies

“Statistical Network Analysis for Omics Data,” led by Ali Shojaie.

Fort Garry campus

Date: Monday, April 27, 2026 Time: 9:00–16:45 Place: University of Manitoba, Fort Garry Campus, Armes Building, Room 201, and on Zoom <h2>Workshop Description</h2>“Statistical Network Analysis for Omics Data,” led by Ali Shojaie, Norm Breslow Endowed Faculty Professor and Interim Chair in the Department of Biostatistics and Professor in the Department of Statistics at the University of Washington, is the sixth presentation in the <a href="https://canssi.ca/news/canssi-prairies-workshop-series/" title="https://canssi.ca/news/canssi-prairies-workshop-series/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">CANSSI Prairies Workshop Series in Data Science</a>. We invite you to join us either in person or online.This one-day workshop introduces statistical network analysis methods for omics data. This includes an introduction to methods for inferring undirected and directed graphical models as well as methods for identifying individual (sets of) omics variables associated with various phenotypes/outcomes. Time permitting, network-based methods for time-course data will also be covered. In addition to introducing methodology, the workshop will also include hands-on data analysis using the R programming language.The content is intended for diverse audiences and can accommodate graduate students and faculty in a wide range of areas, as long as they are familiar with statistics at an undergraduate level and computing with the R programming language. <h2>Program Schedule</h2>9:00–10:00 | Introduction: A Network Primer10:00–10:15 | Break10:15–12:00 | Analysis of Network-Structured Data12:00–13:00 | Lunch13:00–14:45 | Learning Undirected Networks14:45–15:00 | Break15:00–16:45 | Learning Directed Networks <h2>Cost and Registration</h2><ul><li>Students: $25</li><li>Non-students: $50</li></ul>

Ali Shojaie is the Norm Breslow Endowed Faculty and Interim Chair in the Department of Biostatistics and Professor in the Department of Statistics at the University of Washington (UW). He is the Founding Director of the Summer Institute for Statistics in Big Data (SISBID) at UW and Lead of the Data Management and Statistics (DMS) Core of the UW Alzheimer’s Disease Research Center (ADRC). Dr. Shojaie’s research lies in the intersection of statistical machine learning, statistical network analysis and applications in biology and public health. He is an elected Fellow of the American Statistical Association (ASA) and the Institute of Mathematical Statistics (IMS) and recipient of the 2022 Leo Breiman Award from the ASA Section on Statistical Learning and Data Science (SLDS).

<h3>About the Series</h3>The <a href="https://canssi.ca/news/canssi-prairies-workshop-series/" title="https://canssi.ca/news/canssi-prairies-workshop-series/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">CANSSI Prairies Workshop Series in Data Science</a> offers an excellent opportunity for individuals to enhance their knowledge and skills in various areas of data science. Through a series of engaging and interactive hybrid (online and in-person) sessions, participants have the opportunity to explore new topics, learn cutting-edge techniques, and connect with experts in the field. <h3>Notice regarding collection, use, and disclosure of personal Information by the university</h3>Your personal information is being collected under the authority of The University of Manitoba Act. The information you provide will be used by the university for the purpose of processing your registration for the event, determining catering orders, improving future Faculty of Science events, and for further communication regarding the event. Your personal information will not be used or disclosed for other purposes, unless permitted by The Freedom of Information and Protection of Privacy Act (FIPPA). If you have any questions about the collection of your personal information, contact the Access and Privacy Office (tel. 204-474-9462), 233 Elizabeth Dafoe Library, University of Manitoba, Winnipeg, MB, R3T 2N2

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CANSSI Prairies Workshop: Statistical Network Analysis for Omics Data

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