Principal Investigator: Dr David Heckerman
Human Longevity, Inc. Research,100 View Street
Mountain View CA 94041, United StatesTags: 30867, association analyses, longitudinal data, LSTM, prediction
1a: We hope to use the UK Biobank data to design and test state-of-the-art machine learning algorithms for understanding how the genome influences the progression of disease.
1b: The stated aim of the UK Biobank is “improving the prevention, diagnosis and treatment of a wide range of serious and life-threatening illnesses.” Whereas there have been a lot of methods proposed for determining influence of the genome on a static picture of disease, we are interested in looking at how the genome influences the progression of disease.
1c: We will apply state-of-the-art time-series algorithms to analyze how the genome influences the progression of disease.
1d: One key aspect of our work will be to ensure that these state-of-the-art algorithm scale to large sample sizes, and hence we would like to have access to as much of the cohort as possible.