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Books
Profit maximization through customer relationship marketing : measurement, prediction and implementation / Lerzan Aksoy, Timothy L. Keiningham, David Bejou, editors.
Publisher:Binghamton, NY : Best Business Books, an imprint of The Haworth Press, 2007.
Date:2007.
Call Numbers:N658.812/153
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Books
Biology of oysters / Brian Bayne.
Author / Creator:Bayne, B. L. (Brian Leicester), author.
Publisher:London, United Kingdom ; San Diego, CA, United States : Academic Press, an imprint of Elsevier, [2017]
Call Numbers:GQ 2017/681
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Books
Interactions between sediments and water / editors, B.T. Hart and A. Grant.
Author / Creator:International Symposium on Interactions Between Sediments and Water (6th : 1993 : Santa Barbara, Calif.)
Publisher:[East Melbourne, Vic.?] : CSIRO, c1995.
Call Numbers:NQ628.168/76
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ebooks
OECD Fiscal Federalism Studies Local Public Finance and Capacity Building in Asia Issues and Challenges.
Author / Creator:OECD.
Publisher:Paris : OECD Publishing, 2020.
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ArticlesPeer ReviewedFull Text
The METLIN small molecule dataset for machine learning-based retention time prediction
Author / Creator:Domingo-Almenara, Xavier ; Guijas, Carlos ; Billings, Elizabeth ; Montenegro-Burke, J. Rafael ; Uritboonthai, Winnie ; Aisporna, Aries E. ; Chen, Emily ; Benton, H. Paul ; Siuzdak, Gary
Publisher:London: Nature Publishing Group UK
Journal title:Nature communications, 2019-12, Vol.10 (1), p.5811-9, Article 5811
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ArticlesPeer ReviewedFull Text
Retention time prediction for chromatographic enantioseparation by quantile geometry-enhanced graph neural network
Author / Creator:Xu, Hao ; Lin, Jinglong ; Zhang, Dongxiao ; Mo, Fanyang
Publisher:London: Nature Publishing Group UK
Journal title:Nature communications, 2023-05, Vol.14 (1), p.3095-3095, Article 3095
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ArticlesPeer ReviewedFull Text
Retention time prediction using neural networks increases identifications in crosslinking mass spectrometry
Author / Creator:Giese, Sven H. ; Sinn, Ludwig R. ; Wegner, Fritz ; Rappsilber, Juri
Publisher:London: Nature Publishing Group UK
Journal title:Nature communications, 2021-05, Vol.12 (1), p.3237-3237, Article 3237
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ArticlesPeer ReviewedFull Text
Retention Time Prediction with Message-Passing Neural Networks
Author / Creator:Osipenko, Sergey ; Nikolaev, Eugene ; Kostyukevich, Yury
Publisher:Basel: MDPI AG
Journal title:Separations, 2022-10, Vol.9 (10), p.291
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ArticlesPeer ReviewedFull Text
Retention-time prediction in comprehensive two-dimensional gas chromatography to aid identification of unknown contaminants
Author / Creator:Veenaas, Cathrin ; Linusson, Anna ; Haglund, Peter
Publisher:Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title:Analytical and bioanalytical chemistry, 2018-12, Vol.410 (30), p.7931-7941
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ArticlesPeer ReviewedFull Text
Performance and robustness of small molecule retention time prediction with molecular graph neural networks in industrial drug discovery campaigns
Author / Creator:Vik, Daniel ; Pii, David ; Mudaliar, Chirag ; Nørregaard-Madsen, Mads ; Kontijevskis, Aleksejs
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2024-04, Vol.14 (1), p.8733-8733, Article 8733
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ArticlesPeer ReviewedFull Text
UPLC–MS retention time prediction: a machine learning approach to metabolite identification in untargeted profiling
Author / Creator:Wolfer, Arnaud M. ; Lozano, Sylvain ; Umbdenstock, Thierry ; Croixmarie, Vincent ; Arrault, Alban ; Vayer, Philippe
Publisher:New York: Springer US
Journal title:Metabolomics, 2016-01, Vol.12 (1), p.1, Article 8
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ArticlesPeer ReviewedFull Text
Probabilistic metabolite annotation using retention time prediction and meta-learned projections
Author / Creator:García, Constantino A. ; Gil-de-la-Fuente, Alberto ; Barbas, Coral ; Otero, Abraham
Publisher:Cham: Springer International Publishing
Journal title:Journal of cheminformatics, 2022-06, Vol.14 (1), p.33-33, Article 33
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ArticlesPeer ReviewedFull Text
QSRR Automator: A Tool for Automating Retention Time Prediction in Lipidomics and Metabolomics
Author / Creator:Naylor, Bradley C. ; Catrow, J. Leon ; Maschek, J. Alan ; Cox, James E.
Publisher:Switzerland: MDPI AG
Journal title:Metabolites, 2020-06, Vol.10 (6), p.237
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ArticlesPeer ReviewedFull Text
QSAR Implementation for HIC Retention Time Prediction of mAbs Using Fab Structure: A Comparison between Structural Representations
Author / Creator:Karlberg, Micael ; de Souza, João Victor ; Fan, Lanyu ; Kizhedath, Arathi ; Bronowska, Agnieszka K. ; Glassey, Jarka
Publisher:Switzerland: MDPI AG
Journal title:International journal of molecular sciences, 2020-10, Vol.21 (21), p.8037
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ArticlesPeer ReviewedFull Text
Machine Learning-Based Retention Time Prediction of Trimethylsilyl Derivatives of Metabolites
Author / Creator:de Cripan, Sara M. ; Cereto-Massagué, Adrià ; Herrero, Pol ; Barcaru, Andrei ; Canela, Núria ; Domingo-Almenara, Xavier
Publisher:Switzerland: MDPI AG
Journal title:Biomedicines, 2022-04, Vol.10 (4), p.879
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ArticlesPeer ReviewedFull Text
Retention time prediction of polycyclic aromatic hydrocarbons in gas chromatography–mass spectrometry using QSPR based on random forests and artificial neural network
Author / Creator:Emrarian, Moona ; Sohrabi, Mahmoud Reza ; Goudarzi, Nasser ; Tadayon, Fariba
Publisher:New York: Springer US
Journal title:Structural chemistry, 2021-02, Vol.32 (1), p.49-61
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ArticlesPeer ReviewedFull Text
Lipid Annotation by Combination of UHPLC-HRMS (MS), Molecular Networking, and Retention Time Prediction: Application to a Lipidomic Study of In Vitro Models of Dry Eye Disease
Author / Creator:Magny, Romain ; Regazzetti, Anne ; Kessal, Karima ; Genta-Jouve, Gregory ; Baudouin, Christophe ; Mélik-Parsadaniantz, Stéphane ; Brignole-Baudouin, Françoise ; Laprévote, Olivier ; Auzeil, Nicolas
Publisher:Basel: MDPI AG
Journal title:Metabolites, 2020-05, Vol.10 (6), p.225
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ArticlesPeer ReviewedFull Text
A simple method for HPLC retention time prediction: linear calibration using two reference substances
Author / Creator:Sun, Lei ; Jin, Hong-yu ; Tian, Run-tao ; Wang, Ming-juan ; Liu, Li-na ; Ye, Liu-ping ; Zuo, Tian-tian ; Ma, Shuang-cheng
Publisher:England: BioMed Central Ltd
Journal title:Chinese medicine, 2017-06, Vol.12 (1), p.16-16, Article 16
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ArticlesPeer ReviewedFull Text
Retention time prediction of compounds in Grob standard mixture for apolar capillary columns in temperature-programmed gas chromatography
Author / Creator:Thewalim, Yasar ; Aldaeus, Fredrik ; Colmsjö, Anders
Publisher:Berlin/Heidelberg: Berlin/Heidelberg : Springer-Verlag
Journal title:Analytical and bioanalytical chemistry, 2009, Vol.393 (1), p.327-334
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ArticlesPeer ReviewedFull Text
Machine learning to predict retention time of small molecules in nano-HPLC
Author / Creator:Osipenko, Sergey ; Bashkirova, Inga ; Sosnin, Sergey ; Kovaleva, Oxana ; Fedorov, Maxim ; Nikolaev, Eugene ; Kostyukevich, Yury
Publisher:Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title:Analytical and bioanalytical chemistry, 2020-11, Vol.412 (28), p.7767-7776
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Showing 1 to 20 of 107 results

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Profit maximization through customer relationship marketing : measurement, prediction and implementation / Lerzan Aksoy, Timothy L. Keiningham, David Bejou, editors.

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Biology of oysters / Brian Bayne.

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Interactions between sediments and water / editors, B.T. Hart and A. Grant.

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OECD Fiscal Federalism Studies Local Public Finance and Capacity Building in Asia Issues and Challenges.

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The METLIN small molecule dataset for machine learning-based retention time prediction

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Retention time prediction for chromatographic enantioseparation by quantile geometry-enhanced graph neural network

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Retention time prediction using neural networks increases identifications in crosslinking mass spectrometry

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Retention Time Prediction with Message-Passing Neural Networks

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Retention-time prediction in comprehensive two-dimensional gas chromatography to aid identification of unknown contaminants

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Performance and robustness of small molecule retention time prediction with molecular graph neural networks in industrial drug discovery campaigns

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UPLC–MS retention time prediction: a machine learning approach to metabolite identification in untargeted profiling

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Probabilistic metabolite annotation using retention time prediction and meta-learned projections

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QSRR Automator: A Tool for Automating Retention Time Prediction in Lipidomics and Metabolomics

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QSAR Implementation for HIC Retention Time Prediction of mAbs Using Fab Structure: A Comparison between Structural Representations

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Machine Learning-Based Retention Time Prediction of Trimethylsilyl Derivatives of Metabolites

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Retention time prediction of polycyclic aromatic hydrocarbons in gas chromatography–mass spectrometry using QSPR based on random forests and artificial neural network

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Lipid Annotation by Combination of UHPLC-HRMS (MS), Molecular Networking, and Retention Time Prediction: Application to a Lipidomic Study of In Vitro Models of Dry Eye Disease

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A simple method for HPLC retention time prediction: linear calibration using two reference substances

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Retention time prediction of compounds in Grob standard mixture for apolar capillary columns in temperature-programmed gas chromatography

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Machine learning to predict retention time of small molecules in nano-HPLC

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