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» A graphical model for predicting protein molecular function
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BMCBI
2010
119views more  BMCBI 2010»
13 years 8 months ago
Multi-task learning for cross-platform siRNA efficacy prediction: an in-silico study
Background: Gene silencing using exogenous small interfering RNAs (siRNAs) is now a widespread molecular tool for gene functional study and new-drug target identification. The key...
Qi Liu, Qian Xu, Vincent Wenchen Zheng, Hong Xue, ...
KDD
2004
ACM
135views Data Mining» more  KDD 2004»
14 years 8 months ago
Discovering additive structure in black box functions
Many automated learning procedures lack interpretability, operating effectively as a black box: providing a prediction tool but no explanation of the underlying dynamics that driv...
Giles Hooker
JCB
2002
131views more  JCB 2002»
13 years 7 months ago
Modeling and Simulation of Genetic Regulatory Systems: A Literature Review
In order to understand the functioning of organisms on the molecular level, we need to know which genes are expressed, when and where in the organism, and to which extent. The reg...
Hidde de Jong
NAR
2007
95views more  NAR 2007»
13 years 7 months ago
VisANT 3.0: new modules for pathway visualization, editing, prediction and construction
With the integration of the KEGG and Predictome databases as well as two search engines for coexpressed genes/proteins using data sets obtained from the Stanford Microarray Databa...
Zhenjun Hu, David M. Ng, Takuji Yamada, Chunnuan C...
ICML
2007
IEEE
14 years 8 months ago
Incremental Bayesian networks for structure prediction
We propose a class of graphical models appropriate for structure prediction problems where the model structure is a function of the output structure. Incremental Sigmoid Belief Ne...
Ivan Titov, James Henderson