no code implementations • NeurIPS 2020 • John T. Halloran, David M. Rocke
One of the most efficient methods to solve L2-regularized primal problems, such as logistic regression and linear support vector machine (SVM) classification, is the widely used trust region Newton algorithm, TRON.
no code implementations • NeurIPS 2018 • John T. Halloran, David M. Rocke
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.
no code implementations • NeurIPS 2017 • John T. Halloran, David M. Rocke
Tandem mass spectrometry (MS/MS) is a high-throughput technology used toidentify the proteins in a complex biological sample, such as a drop of blood.
2 code implementations • 17 Jul 2018 • Rishabh Iyer, John T. Halloran, Kai Wei
This paper introduces Jensen, an easily extensible and scalable toolkit for production-level machine learning and convex optimization.
no code implementations • 29 Oct 2014 • Shengjie Wang, John T. Halloran, Jeff A. Bilmes, William S. Noble
Liquid chromatography coupled with tandem mass spectrometry, also known as shotgun proteomics, is a widely-used high-throughput technology for identifying proteins in complex biological samples.