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MPFit / Moonlighting protein Prediction with missing Feature imputation
A computational approach for detecting moonlighting proteins (MPs) from GO annotations or omics-based features. MPFit can be applied to a large fraction of proteins in a genome due to the use of several omics-based features and the implemented imputation protocol for filling missing features. The overall computational prediction model undergoes four phases: data construction, feature computation, missing feature imputation (when needed) and classification into moonlighting protein or non-moonlighting protein.
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