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...
The common vision of pervasive computing environments requires a very large range of devices and software components to interoperate seamlessly. From the assumption that these dev...
Rapid growth in the scientific literature makes it increasingly difficult for scientists to keep abreast of findings outside their own narrowing fields of expertise. To help biome...
Meredith M. Skeels, Kiera Henning, Meliha Yetisgen...
Protein structure similarity and classification methods have many applications in protein function prediction and associated fields (e.g. drug discovery). In this paper, we propose...
As the Internet grows explosively, search engines play a more and more important role for users in effectively accessing online information. Recently, it has been recognized that ...
Ming Ji, Jun Yan, Siyu Gu, Jiawei Han, Xiaofei He,...