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A Latent Variable Model For Chemogenomic Profiling, Patrick Flaherty
A Latent Variable Model For Chemogenomic Profiling, Patrick Flaherty
Patrick Flaherty
Motivation: In haploinsufficiency profiling data, pleiotropic genes
are often misclassified by clustering algorithms that impose the constraint that a gene or experiment belong to only one cluster. We
have developed a general probabilistic model that clusters genes and
experiments without requiring that a given gene or drug only appear
in one cluster. The model also incorporates the functional annotation
of known genes to guide the clustering procedure.
Results: We applied our model to the clustering of 79 chemogenomic
experiments in yeast. Known pleiotropic genes PDR5 and MAL11 are
more accurately represented by the model than by a clustering procedure that …