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In Silico Target Prediction by Training Naive Bayesian Models on Chemogenomics Databases
Chemogenomics Databases Informatics
2015/5/26
The completion of Human Genome Project is seen as a gateway to the discovery of novel drug targets (Jacoby, Schuffenhauer, & Floersheim, 2003). How much of this information is actually translated into...
USE OF APRIORI KNOWLEDGE ON DYNAMIC BAYESIAN MODELS IN TIME-COURSE EXPRESSION DATA PREDICTION
DYNAMIC BAYESIAN NETWORKS HIDDEN MARKOV MODELS
2015/5/26
Bayesian networks, one of the most widely used techniques to understand or predict the future by making use of current or previous data, have gained credence over the last decade for their ability to ...
Investigation of the action of phosphatase of regenerating liver on PTEN using murine models
Phosphatase of Regenerating Liver PTEN Mouse Models
2015/5/25
The addition and removal of phosphate groups is a key regulatory mechanism for many cellular processes. The balance between phosphorylation and dephosphorylation is delicate and must be maintained in ...
Researchers develop models to study polyelectrolytes, including DNA and RNA（图）
DNA RNA polyelectrolytes
2014/8/26
Researchers from North Carolina State University have developed a novel and versatile modeling strategy to simulate polyelectrolyte systems. The model has applications for creating new materials as we...
Use of murine models to test novel gene transfer strategies for the treatment of Fanconi anemia
Gene therapy mobilization hematopoiesis
2015/5/21
he dawn of the genetic era has allowed for investigation of gene transfer therapy as a treatment for certain diseases. Fanconi anemia (FA) is a rare genetic disorder in which the majority of patients ...
Application of new probabilistic graphical models in the genetic regulatory networks studies
Application probabilistic graphical models genetic regulatory networks studies
2010/11/15
This paper introduces two new probabilistic graphical models for reconstruction of genetic regulatory networks using DNA microarray data. One is an Independence Graph (IG) model with either a forward ...