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...
One class of applications envisaged for the IEEE 802.15.4 LR-WPAN (low data rate - wireless personal area network) standard is wireless sensor networks for monitoring and control a...
Chandramani Kishore Singh, Anurag Kumar, P. M. Ame...
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Background: Analysis of complex samples with tandem mass spectrometry (MS/MS) has become routine in proteomic research. However, validation of database search results creates a bo...
Traditional Web-based educational systems still have several shortcomings when comparing with a real-life classroom teaching, such as lack of contextual and adaptive support, lack...