Article

Integration of single cell gene expression data in Bayesian association analysis of rare variants

2022-05-15

Abstract excerpt

We present VBASS, a Bayesian method that integrates single-cell expression and de novo variant (DNV) data to improve power of disease risk gene discovery. VBASS models disease risk prior as a function of expression profiles, approximated by deep neural networks. It learns the weights of neural networks and parameters of Poisson likelihood models of DNV counts jointly from expression and genetics data. On simulated...

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Literature Corpus work: 791a2f85-3c12-57e5-89f4-3627a7802bba
DOI: 10.1101/2022.05.13.491893

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