This project provides a pipeline for fast construction of subcellular localization prediction and model interpretation, with 42 amino acid feature characterization algorithms and GO feature extraction based on Doc2Vec. In addition, two random forest models for protein localization prediction are also provided.
This project provides a pipeline for fast construction of subcellular localization prediction and model interpretation, with 42 amino acid feature characterization algorithms and GO feature extraction based on Doc2Vec. In addition, two random forest models for protein localization prediction are also provided.
