We present BayesMD, a Bayesian Motif Discovery model with several new features. Three different types of biological a priori knowledge are built into the framework in a modular fa...
Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e., segmentation con...
Yan Liu 0002, Jaime G. Carbonell, Peter Weigele, V...
High volume print jobs are getting more common due to the growing demand for personalized documents. In this context, Variable Data Printing (VDP) has become a useful tool for mar...
To support dynamic address translation in today's microprocessors, the first-level cache is accessed in parallel with a translation lookaside buffer (TLB). However, this curre...
Background: An important challenge for transcript counting methods such as Serial Analysis of Gene Expression (SAGE), "Digital Northern" or Massively Parallel Signature ...