4762 search results - page 131 / 953 » About the use of protein models |
117
Voted
BMCBI
2005
15 years 1 months ago
2005
Background: Several supervised and unsupervised learning tools are available to classify functional genomics data. However, relatively less attention has been given to exploratory...
136
click to vote
BCB
2010
14 years 8 months ago
2010
A major bottleneck in high-throughput protein crystallography is producing protein-structure models from an electrondensity map. In previous work, we developed Acmi, a probabilist...
136
click to vote
BMCBI
2010
15 years 1 months ago
2010
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
121
click to vote
RECOMB
2003
Springer
16 years 2 months ago
2003
Springer
We develop a new framework for inferring models of transcriptional regulation. The models in this approach, which we call physical models, are constructed on the basis of verifiab...
128
click to vote
PRIB
2009
Springer
15 years 8 months ago
2009
Springer
Abstract. The rapidly emerging field of metagenomics seeks to examine the genomic content of communities of organisms to understand their roles and interactions in an ecosystem. I...