Machine Learning for Personalized Medicine

The needle in the haystack - or how we identify true genomic variation

by Oliver Hofmann

Next generation sequencing (NGS) technologies are generating more biological data measurements than ever, making it more important than ever to efficiently identify signal and noise. While the field has long relied on deterministic (hard) filtering and classification approaches the number of machine learning algorithms applied to NGS data continues to increase. This talk will provide an overview of probabilistic algorithms applied to sequencing data in human health, their challenges and opportunities for new developments.

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