1273 search results - page 52 / 255 » The Factor Graph Network Model for Biological Systems |
SODA
2001
ACM
13 years 10 months ago
2001
ACM
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
RECOMB
2006
Springer
14 years 9 months ago
2006
Springer
Computational and comparative analysis of protein-protein interaction (PPI) networks enable understanding of the modular organization of the cell through identification of functio...
SIGSOFT
2009
ACM
14 years 9 months ago
2009
ACM
A bug report is typically assigned to a single developer who is then responsible for fixing the bug. In Mozilla and Eclipse, between 37%-44% of bug reports are "tossed" ...
BIOCOMP
2008
13 years 10 months ago
2008
Background: Inferring a gene regulatory network (GRN) from high throughput biological data is often an under-determined problem and is a challenging task due to the following reas...
BIBE
2008
IEEE
13 years 10 months ago
2008
IEEE
Bayesian network structure learning is a useful tool for elucidation of regulatory structures of biomolecular pathways. The approach however is limited by its acyclicity constraint...