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John T Halloran

3 accepted papers

2018

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

NeurIPS 2018poster

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…

Cited by 3SourcePDFScholar
2017

Gradients of Generative Models for Improved Discriminative Analysis of Tandem Mass Spectra

NeurIPS 2017spotlight

Tandem mass spectrometry (MS/MS) is a high-throughput technology used to identify the proteins in a complex biological sample, such as a drop of blood. A collection of spectra is generated at the output of the process, each spectrum of which is representative of a peptide (protein subsequence) prese…

Cited by 9SourcePDFScholar