Concepedia

Deep Learning for the Precise Peak Detection in High-Resolution LC–MS Data

Arsenty D. Melnikov, Yuri P. Tsentalovich, Vadim V. Yanshole

Analytical Chemistry · 2019 · 194 citations · 13 references

DOI

Concepts

Abstract

is freely available on GitHub ( https://github.com/arseha/peakonly ) under an MIT license.

References

13

ImageNet classification with deep convolutional neural networks

Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton · Communications of the ACM · 2017 · 75.7K citations · Full text

, , +12

MZmine 2: Modular framework for processing, visualizing, and analyzing mass spectrometry-based molecular profile data

Tomáš Pluskal, Sandra Castillo, Alejandro Villar‐Briones et al. · BMC Bioinformatics · 2010 · 3.9K citations · Full text

, , +17

Highly sensitive feature detection for high resolution LC/MS

Ralf Tautenhahn, Christoph Böttcher, Steffen Neumann · BMC Bioinformatics · 2008 · 1.2K citations · Full text

, , +16

Interactive XCMS Online: Simplifying Advanced Metabolomic Data Processing and Subsequent Statistical Analyses

Harsha Gowda, Julijana Ivanišević, Caroline H. Johnson et al. · Analytical Chemistry · 2014 · 390 citations · Full text

, , +17

Detailed Investigation and Comparison of the XCMS and MZmine 2 Chromatogram Construction and Chromatographic Peak Detection Methods for Preprocessing Mass Spectrometry Metabolomics Data

Owen D. Myers, Shuzhao Li, Stephen Barnes et al. · Analytical Chemistry · 2017 · 202 citations

, , +16