Deep Learning Approach for Automated Gas Chromatography Peak Detection to Account for Co-elution-Reference-Cited by-同舟云学术

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Deep Learning Approach for Automated Gas Chromatography Peak Detection to Account for Co-elution

Published:2023-12-05 Issue: Volume: Page:2617-2623
ISSN:
Container-title:2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
language:
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Author:

Cao Loc¹,Sharma Ruchi²,Fan Xudong³,Ward Kevin K.¹,Ansari Sardar¹

Affiliation:

1. University of Michigan,Weil Institute for Critical Care Research and Innovation,Dept. of Emergency Medicine,Ann Arbor,United States

2. University of Michigan,Dept. of Biomedical Engineering,Ann Arbor,United States

3. University of Michigan,Weil Institute for Critical Care Research and Innovation,Dept. of Biomedical Engineering,Ann Arbor,United States

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10385250/10385251/10385279.pdf?arnumber=10385279

Reference9 articles.

1. Breath Analysis: A Promising Tool for Disease Diagnosis—The Role of Sensors

2. Automatic program for peak detection and deconvolution of multi-overlapped chromatographic signals

3. Probabilistic peak detection for first-order chromatographic data

4. A Universal Denoising and Peak Picking Algorithm for LC−MS Based on Matched Filtration in the Chromatographic Time Domain

5. Convolutional neural network for automated peak detection in reversed-phase liquid chromatography

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