In the paper we combine a Bayesian Network model for encoding forensic evidence during a given time interval with a Hidden Markov Model (EBN-HMM) for tracking and predicting the de...
Olivier Y. de Vel, Nianjun Liu, Terry Caelli, Tib&...
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
PROFtmb predicts transmembrane beta-barrel (TMB) proteins in Gram-negative bacteria. For each query protein, PROFtmb provides both a Z-value indicating that the protein actually c...
An Intrusion Detection Program (IDP) analyzes what happens or has happened during an execution and tries to find indications that the computer has been misused. In this talk, we p...
Background: One of the essential processing events during pre-mRNA maturation is the posttranscriptional addition of a polyadenine [poly(A)] tail. The 3'-end poly(A) track pr...
Guoli Ji, Jianti Zheng, Yingjia Shen, Xiaohui Wu, ...