A Matter of Time: Faster Percolator Analysis via Efficient SVM Learning for Large-Scale Proteomics.
Sign Up to like & getrecommendations! Published in 2018 at "Journal of proteome research"
DOI: 10.1021/acs.jproteome.7b00767
Abstract: Percolator is an important tool for greatly improving the results of a database search and subsequent downstream analysis. Using support vector machines (SVMs), Percolator recalibrates peptide-spectrum matches based on the learned decision boundary between targets… read more here.
Keywords: large scale; svm; analysis; percolator ... See more keywords
Distributed SVM learning and support vector reduction
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Computing"
DOI: 10.12988/ijco.2017.756
Abstract: A Support Vector Machine (SVM) is a machine learning classification method with robust learning and minimal overtraining concerns. In this paper experimental data involving a nanopore detector is examined, where 150component feature data is gathered… read more here.
Keywords: vector reduction; svm learning; distributed svm; support vector ... See more keywords