PCLR Chloroplast Localization Prediction
About this predictor:
PCLR is a method of predicting chloroplast localization of proteins in plant cells. The prediction algorithm was trained using principal component logistic regression with stepwise variable selection. The actual principal components and their weights are shown here.
PCLR is described in: Andrew I. Schein, Jessica C. Kissinger, and Lyle H. Ungar. Chloroplast Transit Peptide Prediction: a Peek Behind the Black Box. Nucleic Acids Research, 2001, Vol 29, No. 16 e82.
You can download the software that runs the site here.
Technical details of the method including parameter weights are available here.
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