Statistics and Genomics Seminar

Recent & Upcoming Statistics and Genomics Seminars

Dissecting Gene Regulation with Machine Learning: Discoveries and Challenges
Professor Katie Pollard, Department of Epidemiology and Biostatistics, UC San Francisco, Gladstone Institute, and Chan-Zuckerberg Biohub (Speaker)
Jan 31, 2019 4:00pm
1011 Evans Hall
Abstract:
Machine learning is a popular statistical approach in many fields, including genomics. We and others have used a variety of supervised machine-learning techniques to predict genes, regulatory elements, 3D interactions between regulatory elements and their target genes, and the effects of mutations on regulatory element function. I will highlight a few of these studies, emphasizing the strengths...
Inverse RNA folding and Computational Riboswitch Detection
Professor Danny Barash, Department of Computer Science, Ben-Gurion University (Speaker)
Feb 7, 2019 4:00pm
1011 Evans Hall
Abstract:
The inverse RNA folding problem for designing sequences that fold into a given RNA secondary structure was introduced in the early 1990's in Vienna. Using a coarse-grain tree graph representation of the RNA secondary structure, we extended the inverse RNA folding problem to include constraints such as thermodynamic stability and mutational robustness, developing a program called RNAexinv. In the...
Integrated Analysis of Cancer Data: Multi-omic Clustering and Personalized Ranking of Driver Genes
Professor Ron Shamir, The Blavatnik School of Computer Science, Tel Aviv University (Speaker)
Feb 14, 2019 4:00pm
125 Li Ka Shing Center
Abstract:
Large biological datasets are currently available, and their analysis has applications to basic science and medicine. While inquiry of each dataset separately often provides insights, integrative analysis may reveal more holistic, systems-level findings. We demonstrate the power of integrated analysis in cancer on two levels: (1) in analysis of one omic in many cancer types together, and (2) in...
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