PrInCE

PrInCE uses a naive Bayes classifier trained on dataset-derived features to recover protein-protein interactions from co-elution chromatogram profiles.

Key Features:

• Naive Bayes classifier: PrInCE employs a naive Bayes classifier trained on features derived from the dataset itself.
• Protein-protein interaction recovery: The tool recovers protein-protein interactions from co-elution chromatogram profiles.
• R implementation: The package provides an R implementation of the PrInCE method.

Scientific Applications:

• Interactome prediction: PrInCE predicts interactomes from co-elution data.
• Protein-protein interaction inference: The tool infers protein-protein interactions from chromatographic co-elution profiles.

Methodology:

PrInCE uses a naive Bayes classifier trained on dataset-derived features to analyze co-elution chromatogram profiles.