Motif discovery, which focuses on locating short sequence patterns associated
with the regulation of genes in a species, leads to a class of statistical missing
data problems. These problems are discussed first with reference to a
hypothetical model, which serves as a point of departure for more realistic
versions of the model. Some general results relating to modeling and inference
through the Bayesian and/or frequentist perspectives are presented, and
specific problems arising out of the underlying biology are discussed
Is data on this page outdated, violates copyrights or anything else? Report the problem now and we will take corresponding actions after reviewing your request.