XAI-enabled neural network analysis of metabolite spatial distributions-Reference-Cited by-同舟云学术

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XAI-enabled neural network analysis of metabolite spatial distributions

Published:2023-04-21 Issue:14 Volume:415 Page:2819-2830
ISSN:1618-2642
Container-title:Analytical and Bioanalytical Chemistry
language:en
Short-container-title:Anal Bioanal Chem

Author:

Ma Wenwu,Luo Lanfang,Liang Kun,Liu Taoyan,Su Jiali,Wang Yuefan,Li Jun,Zhou S. Kevin,Shyh-Chang Ng

Funder

National Natural Science Foundation of China

National Key R&D Program of China

the State Key Laboratory of Stem Cell and Reproductive Biology

the CAS Project for Young Scientists in Basic Research

Publisher

Springer Science and Business Media LLC

Subject

Biochemistry,Analytical Chemistry

Link

https://link.springer.com/content/pdf/10.1007/s00216-023-04694-8.pdf

Reference48 articles.

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2. Miyamoto S, Hsu CC, Hamm G, Darshi M, Diamond-Stanic M, Decleves AE, et al. Mass spectrometry imaging reveals elevated glomerular ATP/AMP in diabetes/obesity and identifies sphingomyelin as a possible mediator. EBioMed. 2016;7:121–34. https://doi.org/10.1016/j.ebiom.2016.03.033.

3. O’Hurley G, Sjöstedt E, Rahman A, Li B, Kampf C, Pontén F, et al. Garbage in, garbage out: a critical evaluation of strategies used for validation of immunohistochemical biomarkers. Mol Oncol. 2014;8(4):783–98. https://doi.org/10.1016/j.molonc.2014.03.008.

4. Vaysse PM, Heeren RMA, Porta T, Balluff B. Mass spectrometry imaging for clinical research - latest developments, applications, and current limitations. Analyst. 2017;142(15):2690–712. https://doi.org/10.1039/c7an00565b.

5. Mikolov T, Deoras A, Povey D, Burget L, Černocký J. Strategies for training large scale neural network language models. In: IEEE Workshop on Automatic Speech Recognition & Understanding. 2011. pp. 11–5. https://doi.org/10.1109/ASRU.2011.6163930.

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1. Research progress of deep learning applications in mass spectrometry imaging data analysis;CHIN J CHROMATOGR;2024

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