Exploring Trial-and-Error in Deep Learning: Initial Application to Isotope Detection in Mass Spectrometry

Exploring Trial-and-Error in Deep Learning: Initial Application to Isotope Detection in Mass Spectrometry

Mass spectrometry plays a crucial role in biomedicine by detecting isotopes, contributing significantly to research, diagnostics, and therapy development. This study introduces IsoFusion, a deep learning model designed to address isotope detection in raw mass spectra. Rather than directly applying c...

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Bibliographic Details
Main Authors: Qihong Jiao, Yuxiao Wang, Yongshuai Wang, Shiwei Sun, Xuefeng Cui
Format: Article
Language:English
Published: Tsinghua University Press 2024-12-01
Series:Big Data Mining and Analytics
Subjects:
liquid chromatography-mass spectrometry (lc-ms)
isotope detection
retention time prediction
charge state prediction
deep learning
Online Access:https://www.sciopen.com/article/10.26599/BDMA.2024.9020059
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https://www.sciopen.com/article/10.26599/BDMA.2024.9020059

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