325 search results - page 1 / 65 » Probabilistic modeling and machine learning in structural an... |
54
Voted
BMCBI
2007
14 years 11 months ago
2007
91
Voted
ICML
2009
IEEE
15 years 11 months ago
2009
IEEE
In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...
97
Voted
BMCBI
2007
14 years 11 months ago
2007
Background: Elucidating biological networks between proteins appears nowadays as one of the most important challenges in systems biology. Computational approaches to this problem ...
100
Voted
ILP
2005
Springer
15 years 4 months ago
2005
Springer
In this paper we survey work being conducted at Imperial College on the use of machine learning to build Systems Biology models of the effects of toxins on biochemical pathways. Se...
78
Voted
BMCBI
2007
14 years 11 months ago
2007
Background: Features of a DNA sequence can be found by compressing the sequence under a suitable model; good compression implies low information content. Good DNA compression mode...