Videos
Su-In Lee | Interpretable Machine Learning for Precision Medicine | CGWI 2018
Sushmita Roy | Regulatory network inference on developmental and evolutionary lineages | CGWI 2018
Casey Greene | Deep learning | privacy preserving data sharing along with some hints and tips | CGWI 2018
Manuel Rivas | Large-scale inference across population biobanks | CGWI 2018
Noah Zaitlen | A Short Tutorial on Linear Mixed Model Association Testing in Genetics | CGWI 2018
Hae Kyung Im | Prediction and Dissection of Complex Traits | CGWI 2018
Alexis Battle | Methods for analysis of rare genetic variants | CGWI 2018
William Noble | Machine learning methods for making sense of big genomic data | CGWI 2018
Yanjun Qi | Making Deep Learning Interpretable for Analyzing Sequential Data about Gene Regulation | CGWI 2018
John Novembre | Computational tools for understanding geographic structure in genetic variation data | CGWI 2018
Po-Ru Loh | Detecting mosaic chromosomal alterations using long-range phasing | CGWI 2018
Melissa Gymrek | Interpreting the role of short tandem repeats in human phenotypes | CGWI 2018
Peter Kharchenko | Single-cell analysis of heterogeneity in normal and disease tissues | CGWI 2018
David Knowles | Probabilistic programming for genomics | CGWI 2018
Alex Zelikovsky | Modeling and Simulating Evolution and Spread of RNA Viruses | CGWI 2018
Smita Krishnaswamy | Manifold-Learning Yields Insights into Single Cell Data Analysis | CGWI 2018
Geoffrey Schiebinger | Analyzing Developmental Processes with Optimal Transport | CGWI 2018
Kayhan Batmanghelich | Imaging as High-Dimensional Endophenotype | CGWI 2018
Roger Piqué-Regí | Tools for identifying gene regulatory variants and GxE interactions for molecular phenotypes | CGWI 2018