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Advances in Neural Information Processing Systems|November 21, 2019
Learning Concave Conditional Likelihood Models for Improved Analysis of Tandem Mass SpectraJohn T Halloran, David M Rocke
Advances in Neural Information Processing Systems|November 21, 2019
Gradients of Generative Models for Improved Discriminative Analysis of Tandem Mass SpectraJohn T Halloran, David M Rocke
Journal of Proteome Research|April 3, 2018
A Matter of Time: Faster Percolator Analysis via Efficient SVM Learning for Large-Scale ProteomicsJohn T Halloran, David M Rocke
Journal of Proteome Research|August 14, 2019
Speeding Up PercolatorJohn T Halloran, Hantian Zhang, Kaan Kara, et al.
Methods in Molecular Biology (Clifton, N.J.)|July 22, 2018
Analyzing Tandem Mass Spectra Using the DRIP Toolkit: Training, Searching, and Post-ProcessingJohn T Halloran
Seminars in Cell & Developmental Biology|November 25, 2004
Design and analysis of experiments with high throughput biological assay dataDavid M Rocke
Bioinformatics (Oxford, England)|May 23, 2003
Approximate variance-stabilizing transformations for gene-expression microarray dataDavid M Rocke, Blythe Durbin
Bioinformatics (Oxford, England)|July 23, 2003
Estimation of transformation parameters for microarray dataBlythe Durbin, David M Rocke
BMC Bioinformatics|July 31, 2008
Baseline correction for NMR spectroscopic metabolomics data analysisYuanxin Xi, David M Rocke
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