Prediction of protein solubility in Escherichia coli using logistic regression

@article{Diaz2010PredictionOP,
  title={Prediction of protein solubility in Escherichia coli using logistic regression},
  author={Armando A Diaz and Emanuele Tomba and Reese Lennarson and Rex Richard and Miguel J. Bagajewicz and R. G. Harrison},
  journal={Biotechnology and Bioengineering},
  year={2010},
  volume={105}
}
In this article we present a new and more accurate model for the prediction of the solubility of proteins overexpressed in the bacterium Escherichia coli. The model uses the statistical technique of logistic regression. To build this model, 32 parameters that could potentially correlate well with solubility were used. In addition, the protein database was expanded compared to those used previously. We tested several different implementations of logistic regression with varied results. The best… 
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