Program

Videos of selected talks are available on YouTube. Please click on the titles to watch them.

09:00 AM	Learning Deep Biological Architectures for Genomic Medicine Brendan J Frey
09:45 AM	Multi-Tac deep neural network to predict CpG methylation profiles from low-coverage sequencing data Christof Angermueller
10:05 AM	Large-Scale Sentence Clustering from Electronic Health Records for Genetic Associations in Cancer Stefan Stark
10:10 AM	Classifying Microscopy Images Using Convolutional Multiple Instance Learning Oren Kraus
10:30 AM	Basset: Learning the regulatory code of the accessible genome with deep convolutional neural networks David Kelley
10:50 AM	A probabilistic method for quantifying chromatin interactions Henrik Mannerström
11:35 AM	Detecting significant higher-order associations between genotype and phenotype while conditioning on covariates Laetitia Papaxanthos
11:40 AM	Genome-wide modelling of transcription kinetics reveals patterns of RNA production delays Antti Honkela
11:45 AM	Tensor decomposition and causal inference for multi-tissue gene expression experiments Victoria Hore
11:50 AM	Disease mechanism discovery by integrating exome and gene expression datasets in one graphical model of disease Aziz M Mezlini
02:30 PM	Human Traits and Diseases Dana Pe'er
03:15 PM	Bayesian Gaussian Process latent variable models for pseudotime inference in single-cell RNA-seq data Kieran Campbell
03:35 PM	In Silico Design of Synthetic Genes for Total Cell Translation Control: a Multi-output Gaussian Processes approach Javier Gonzalez

Invited Speakers