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Given files with sequences containing signal peptides and sequences not containing signal peptides, multiple classifiers were tested to see which performs best in the classification of signal peptide sequences.
Project for course DD2404. The project focuses on creating a classifier for proteins with signal peptides, using machine learning. Currently, the scripts are based on Convolutional neural networks, but I might implement a GAN and a Hidden Markov Model too.
Proof-of-concept implementation of a search engine that uses sparse matrix multiplication to identify the best peptide candidates for a given mass spectrum.