Artificial Neural Network for Charge Prediction in Metabolite Identification by Mass Spectrometry

Methods in Molecular Biology - Artificial Neural Networks ◽

10.1007/978-1-4939-2239-0_6 ◽

2014 ◽

pp. 89-100 ◽

Author(s):

J. H. Miller ◽

B. T. Schrom ◽

L. J. Kangas

Keyword(s):

Neural Network ◽

Mass Spectrometry ◽

Artificial Neural Network ◽

Metabolite Identification ◽

Artificial Neural

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Tracing the transition of methicillin resistance in sub-populations of Staphylococcus aureus, using SELDI-TOF Mass Spectrometry and Artificial Neural Network Analysis

Systematic and Applied Microbiology ◽

10.1016/j.syapm.2010.11.002 ◽

2011 ◽

Vol 34 (1) ◽

pp. 81-86 ◽

Author(s):

Haroun N. Shah ◽

Lakshani Rajakaruna ◽

Graham Ball ◽

Raju Misra ◽

Ali Al-Shahib ◽

...

Keyword(s):

Neural Network ◽

Mass Spectrometry ◽

Staphylococcus Aureus ◽

Artificial Neural Network ◽

Network Analysis ◽

Methicillin Resistance ◽

Neural Network Analysis ◽

Artificial Neural Network Analysis ◽

Artificial Neural

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A flow-injection mass spectrometry fingerprinting scaffold for feature selection and quantitation of Cordyceps and Ganoderma extracts in beverage: a predictive artificial neural network modelling strategy

AMB Express ◽

10.1186/2191-0855-2-43 ◽

2012 ◽

Vol 2 (1) ◽

pp. 43 ◽

Author(s):

Chee Lim ◽

Siew Tai ◽

Sheot Chan

Keyword(s):

Neural Network ◽

Mass Spectrometry ◽

Artificial Neural Network ◽

Feature Selection ◽

Flow Injection ◽

Network Modelling ◽

Neural Network Modelling ◽

Artificial Neural ◽

Artificial Neural Network Modelling

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Application of artificial neural network on mono- and sesquiterpenes compounds determined by headspace solid-phase microextraction–gas chromatography–mass spectrometry for the Piedmont ricotta cheese traceability

Journal of Chromatography A ◽

10.1016/j.chroma.2004.11.083 ◽

2005 ◽

Vol 1071 (1-2) ◽

pp. 247-253 ◽

Author(s):

Zeppa Giuseppe ◽

Giordano Manuela ◽

Bertolino Marta ◽

Gerbi Vincenzo

Keyword(s):

Neural Network ◽

Mass Spectrometry ◽

Artificial Neural Network ◽

Gas Chromatography ◽

Solid Phase Microextraction ◽

Solid Phase ◽

Gas Chromatography Mass Spectrometry ◽

Headspace Solid Phase Microextraction ◽

Chromatography Mass Spectrometry ◽

Artificial Neural

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Artificial Neural Network for Probabilistic Feature Recognition in Liquid Chromatography Coupled to High-Resolution Mass Spectrometry

Analytical Chemistry ◽

10.1021/acs.analchem.6b03678 ◽

2016 ◽

Vol 89 (2) ◽

pp. 1212-1221 ◽

Author(s):

Michael Woldegebriel ◽

Eduard Derks

Keyword(s):

Neural Network ◽

Mass Spectrometry ◽

Artificial Neural Network ◽

Liquid Chromatography ◽

High Resolution ◽

Feature Recognition ◽

High Resolution Mass Spectrometry ◽

High Resolution Mass ◽

Artificial Neural ◽

Resolution Mass

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Kohonen Artificial Neural Network and Multivariate Analysis in the Identification of Proteome Changes during Early and Long Aging of Bovine Longissimus dorsi Muscle Using SWATH Mass Spectrometry

Journal of Agricultural and Food Chemistry ◽

10.1021/acs.jafc.1c03578 ◽

2021 ◽

Author(s):

Jessica Brandi ◽

Elisa Robotti ◽

Marcello Manfredi ◽

Elettra Barberis ◽

Emilio Marengo ◽

...

Keyword(s):

Neural Network ◽

Mass Spectrometry ◽

Artificial Neural Network ◽

Multivariate Analysis ◽

Longissimus Dorsi ◽

Longissimus Dorsi Muscle ◽

Dorsi Muscle ◽

Artificial Neural ◽

Proteome Changes

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Time-of-flight secondary ion mass spectrometry analysis of hair samples using unsupervised artificial neural network

Biointerphases ◽

10.1116/6.0000044 ◽

2020 ◽

Vol 15 (2) ◽

pp. 021013

Author(s):

Kazuhiro Matsuda ◽

Satoka Aoyagi

Keyword(s):

Neural Network ◽

Mass Spectrometry ◽

Artificial Neural Network ◽

Secondary Ion Mass Spectrometry ◽

Time Of Flight ◽

Mass Spectrometry Analysis ◽

Spectrometry Analysis ◽

Hair Samples ◽

Artificial Neural ◽

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Metabolite Identification Using Artificial Neural Network

2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) ◽

10.1109/bibm47256.2019.8983190 ◽

2019 ◽

Author(s):

Ziling Fan ◽

Kian Ghaffari ◽

Amber Alley ◽

Habtom W. Ressom

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Metabolite Identification ◽

Artificial Neural

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Identification of wheat varieties using matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry and an artificial neural network

Rapid Communications in Mass Spectrometry ◽

10.1002/(sici)1097-0231(19990730)13:14<1535::aid-rcm686>3.0.co;2-u ◽

1999 ◽

Vol 13 (14) ◽

pp. 1535-1539 ◽

Author(s):

Helle Aagaard Bloch ◽

Can Keşmir ◽

Marianne Petersen ◽

Susanne Jacobsen ◽

Ib Søndergaard

Keyword(s):

Neural Network ◽

Mass Spectrometry ◽

Artificial Neural Network ◽

Time Of Flight ◽

Laser Desorption ◽

Wheat Varieties ◽

Flight Mass Spectrometry ◽

Artificial Neural ◽

Matrix Assisted Laser ◽

Matrix Assisted Laser Desorption

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Application of the Kohonen artificial neural network in the identification of proteinaceous binders in samples of panel painting using gas chromatography-mass spectrometry

The Analyst ◽

10.1039/b212509a ◽

2003 ◽

Vol 128 (3) ◽

pp. 281-286 ◽

Author(s):

R. Lletí ◽

L. A. Sarabia ◽

M. C. Ortiz ◽

R. Todeschini ◽

M. P. Colombini

Keyword(s):

Neural Network ◽

Mass Spectrometry ◽

Artificial Neural Network ◽

Gas Chromatography ◽

Gas Chromatography Mass Spectrometry ◽

Chromatography Mass Spectrometry ◽

Panel Painting ◽

Artificial Neural ◽

Proteinaceous Binders

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Integrated artificial neural network analysis and functional cell based affinity mass spectrometry for screening a bifunctional activator of Ca2+ and β2AR in aconite

Journal of Pharmaceutical and Biomedical Analysis ◽

10.1016/j.jpba.2020.113506 ◽

2020 ◽

Vol 190 ◽

pp. 113506

Author(s):

Nianwei Chang ◽

Jie Gao ◽

Lin Niu ◽

Yuanyuan Hou ◽

Xiaoying Wang ◽

...

Keyword(s):

Neural Network ◽

Mass Spectrometry ◽

Artificial Neural Network ◽

Network Analysis ◽

Neural Network Analysis ◽

Artificial Neural Network Analysis ◽

Artificial Neural

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