SimReg-package | R Documentation |
Functions for performing Bayesian similarity regression, and evaluating the probability of association between sets of ontological terms and binary response vector. A random model is compared with one in which the log odds of a true response is linked to the semantic similarity between terms and a latent characteristic ontological profile.
Key functions include sim_reg, for similarity regression of binary response variable against an ontologically encoded predictor. An example application would be inferring the probability of association between the presence of a rare genetic variant conditional on an ontologically encoded phenotype.
Daniel Greene <dg333@cam.ac.uk>
Maintainer: Daniel Greene <dg333@cam.ac.uk>
D. Greene, NIHR BioResource, S. Richardson, E. Turro, ‘Phenotype similarity regression for identifying the genetic determinants of rare diseases’, The American Journal of Human Genetics 98, 1-10, March 3, 2016.
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