420 search results - page 50 / 84 » A graphical model for predicting protein molecular function |
BMCBI
2004
13 years 7 months ago
2004
Background: Profile Hidden Markov Models (pHMMs) are a widely used tool for protein family research. Up to now, however, there exists no method to visualize all of their central a...
BMCBI
2007
13 years 8 months ago
2007
Background: The recent increase in the use of high-throughput two-hybrid analysis has generated large quantities of data on protein interactions. Specifically, the availability of...
BMCBI
2007
13 years 8 months ago
2007
Background: Relating features of protein sequences to structural hinges is important for identifying domain boundaries, understanding structure-function relationships, and designi...
UAI
2004
13 years 9 months ago
2004
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
CEC
2009
IEEE
14 years 17 days ago
2009
IEEE
— The protein structure prediction (PSP) problem is one of the most important problems in computational biology. This paper proposes a novel Estimation of Distribution Algorithms...