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SCLpred-EMS: subcellular localization prediction of endomembrane system and secretory pathway proteins by Deep N-to-1 Convolutional Neural Networks
2020
Bioinformatics
Motivation The subcellular location of a protein can provide useful information for protein function prediction and drug design. Experimentally determining the subcellular location of a protein is an expensive and time-consuming task. Therefore, various computer-based tools have been developed, mostly using machine learning algorithms, to predict the subcellular location of proteins. Results Here, we present a neural network based algorithm for protein subcellular location prediction. We
doi:10.1093/bioinformatics/btaa156
pmid:32142105
fatcat:v2pkc3t3dzh75jsvgji2lqw7my