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Similarity regression, evaluating the probability of association between sets of ontological terms and binary response vector. A no-association 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 - 'Phenotype Similarity Regression for Identifying the Genetic Determinants of Rare Diseases', Greene et al 2016 <doi:10.1016/j.ajhg.2016.01.008>.
Package details |
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Author | Daniel Greene |
Maintainer | Daniel Greene <dg333@cam.ac.uk> |
License | GPL (>= 2) |
Version | 3.4 |
Package repository | View on CRAN |
Installation |
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