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» Predicting diverse subsets using structural SVMs
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BMCBI
2006
145views more  BMCBI 2006»
13 years 5 months ago
GEM System: automatic prototyping of cell-wide metabolic pathway models from genomes
Background: Successful realization of a "systems biology" approach to analyzing cells is a grand challenge for our understanding of life. However, current modeling appro...
Kazuharu Arakawa, Yohei Yamada, Kosaku Shinoda, Yo...
KDD
2003
ACM
175views Data Mining» more  KDD 2003»
14 years 6 months ago
Time and sample efficient discovery of Markov blankets and direct causal relations
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...
JIB
2007
172views more  JIB 2007»
13 years 5 months ago
The ABC (Analysing Biomolecular Contacts)-database
As protein-protein interactions are one of the basic mechanisms in most cellular processes, it is desirable to understand the molecular details of protein-protein contacts and ult...
Peter Walter, Sam Ansari, Volkhard Helms
NAR
2006
85views more  NAR 2006»
13 years 5 months ago
WormBase: better software, richer content
WormBase (http://wormbase.org), the public database for genomics and biology of Caenorhabditis elegans, has been restructured for stronger performance and expanded for richer biol...
Erich M. Schwarz, Igor Antoshechkin, Carol Bastian...
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
14 years 6 months ago
Scalable pseudo-likelihood estimation in hybrid random fields
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Antonino Freno, Edmondo Trentin, Marco Gori