Events
The Section on Statistical Genetics holds a monthly journal club meeting on the first Thursday of each month. The meeting is held during lunch time with pizza and drinks provided. Each month a faculty member, post-doctoral fellow, or a student is chosen to lead the discussion. This person selects an article related to statistical genetics usually pertaining to his or her area of expertise.
Location: RPHB 107
Speaker: Michael J Lanning PhD
Institution: Business Administration, Statistics, University of Tennessee, Knoxville
Topic: Combining the Kernel Trick and Information Criteria for Variable Selection and Clustering
Abstract
Location: RPHB 407
Speaker: Lekki Wood, PhD,
Institution: Biostatistics, University of Alabama at Birmingham
Topic: Twin studies and their implications for molecular genetic studies: Are endophenotypes the key to integrating quantitative and molecular genetics in ADHD research?
Abstract
Grant Writing Club meetings are held on second thursday of every month.
Please join us for Grant Writing Club on Thursday November 12th from 11:30-1 in LRC 114.
As always, lunch will be provided.
This month Kip Phillips & Kay Peterson will be discussing common mistakes grant budgets.
Location: RPHB 407
Speaker: Jacqueline Harris PhD
Institution: Department of Chemistry and Biochemistry, The University of Mississippi, Oxford
Topic: Low Dimer Assembly: A built-in Delay Mechanism of Cro Negative Autoregulation.
Abstract
Location: RPHB 107
Speaker: Christoph Lange PhD, Associate Professor
Institution: Harvard School of Public Health, Department of Biostatistics
Topic: On the Analysis of Genome-Wide Association Studies in Family-Based Designs: A Universal, Robust Analysis Approach and an Application to Four Genome-Wide Association Studies.
Abstract
The Section on Statistical Genetics holds a monthly journal club meeting on the first Thursday of each month. The meeting is held during lunch time with pizza and drinks provided. Each month a faculty member, post-doctoral fellow, or a student is chosen to lead the discussion. This person selects an article related to statistical genetics usually pertaining to his or her area of expertise.
