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- Asian Alumni Business Forum (Singapore)12:00 am
- Geriatrics Section Education Conference Series9:00 am
- Marina Vannucci - Rice University10:00 am
- ECE Seminar with Vasileios Pavlidis11:00 am
- Network Analysis of Patent Citations12:00 pm
- SMG Quarterly Networking Lunch12:00 pm
- Time Management12:00 pm
- DOM Grand Rounds - AIDS Update12:00 pm
- Biophysics/Condensed Matter Seminar12:00 pm
- East Asian Archaeology Forum (EAAF) Lecture12:15 pm
- Adam Peltz (’11), Environmental Defense Fund, Individual Advising Appointments (2Ls & 3Ls) 12:20 pm
- SojournBU Central Campus Cadre12:30 pm
- Responsible Conduct of Research Workshop 21:00 pm
- Arts Outreach Info Session: CFA's New Collaboration with MED Campus1:00 pm
- “Pemuda Fever: Structures of Memory and Political Life among Indonesian Student Activists”1:00 pm
- 1L Career Conference1:45 pm
- "Bone morphogenetic protein 9 (BMP9/GDF2) as a differentiating and trophic factor for cholinergic neurons."1:45 pm
- Particle and Fields Seminar2:00 pm
- Graduate Information Session3:00 pm
- Can Financial Engineering Cure Cancer?3:00 pm
- MSE Colloquium: Jeff Tsao, Sandia Labs3:00 pm
- CISE Seminar: Yutaka Yamamoto, Kyoto University3:00 pm
- Women's Swimming and Diving at Columbia4:00 pm
- BU Ethics Reading Group: Ernesto Garcia4:00 pm
- Men's Swimming and Diving at Columbia4:00 pm
- Networking Reception for Alumni and Class of 20155:30 pm
- Cinematheque: An Evening with Alison Bagnal6:00 pm
- Coming Home to Sicily: Seasonal Harvests and Cooking from Casa Vecchie6:00 pm
- The Effect of Gamma Rays on Man-in-the-Moon Marigolds8:00 pm
- The Sussman Variations8:00 pm
- The Callbacks Come Back8:00 pm
- Cirque du Soleil presents Saltimbanco8:00 pm
- Faculty Recital-Bayla Keyes8:00 pm
- Men's Hockey at UND8:30 pm
Marina Vannucci - Rice University
Title: Bayesian Models for Integrative Genomics. Abstract: Novel methodological questions are now being generated in Bioinformatics and require the integration of different concepts, methods, tools and data types. Bayesian methods that employ variable selection have been particularly successful for genomic applications, as they allow to handle situations where the amount of measured variables can be much greater than the number of observations. In this talk I will first describe Bayesian variable selection models that incorporate external biological information into the analysis of gene expression data. I will consider linear settings, including regression and classification models, and mixture models, including clustering and discriminant analysis. If time allows it, I will also introduce Bayesian models that achieve an even greater type of integration, by incorporating into the modeling experimental data from different platforms, together with prior knowledge. I will look in particular at graphical models, integrating gene expression data with microRNA expression data. All modeling settings employ variable selection techniques and prior constructions that cleverly incorporate biological knowledge about structural dependencies among the variables.
When | 10:00 am to 11:00 am on Friday, November 2, 2012 |
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Location | MCS B25 (basement) |