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» Algorithms for Large, Sparse Network Alignment Problems
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BMCBI
2007
143views more  BMCBI 2007»
13 years 10 months ago
Factor analysis for gene regulatory networks and transcription factor activity profiles
Background: Most existing algorithms for the inference of the structure of gene regulatory networks from gene expression data assume that the activity levels of transcription fact...
Iosifina Pournara, Lorenz Wernisch
JMLR
2008
230views more  JMLR 2008»
13 years 10 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
BMCBI
2006
103views more  BMCBI 2006»
13 years 10 months ago
Domain-based small molecule binding site annotation
Background: Accurate small molecule binding site information for a protein can facilitate studies in drug docking, drug discovery and function prediction, but small molecule bindi...
Kevin A. Snyder, Howard J. Feldman, Michel Dumonti...
KDD
2010
ACM
235views Data Mining» more  KDD 2010»
14 years 2 months ago
New perspectives and methods in link prediction
This paper examines important factors for link prediction in networks and provides a general, high-performance framework for the prediction task. Link prediction in sparse network...
Ryan Lichtenwalter, Jake T. Lussier, Nitesh V. Cha...
IPPS
2010
IEEE
13 years 8 months ago
Broadcasting on large scale heterogeneous platforms under the bounded multi-port model
We consider the problem of broadcasting a large message in a large scale distributed platform. The message must be sent from a source node, with the help of the receiving peers whi...
Olivier Beaumont, Lionel Eyraud-Dubois, Shailesh K...