Learning Concave Conditional Likelihood Models for Improved Analysis of Tandem Mass Spectra

• Main Authors: Halloran, John T, Rocke, David M
• Format: Journal Article
• Language: English
• Published: 04.09.2019
• Subjects: Computer Science - Learning; Quantitative Biology - Quantitative Methods; Statistics - Machine Learning

The most widely used technology to identify the proteins present in a complex biological sample is tandem mass spectrometry, which quickly produces a large collection of spectra representative of the peptides (i.e., protein subsequences) present in the original sample. In this work, we greatly expan...