These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

131 related articles for article (PubMed ID: 26044381)

  • 1. On the inherent data fitting problems encountered in modeling retention behavior of analytes with dual retention mechanism.
    Tyteca E; Desmet G
    J Chromatogr A; 2015 Jul; 1403():81-95. PubMed ID: 26044381
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Possibilities of retention modeling and computer assisted method development in supercritical fluid chromatography.
    Tyteca E; Desfontaine V; Desmet G; Guillarme D
    J Chromatogr A; 2015 Feb; 1381():219-28. PubMed ID: 25601318
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Deep Q-learning for the selection of optimal isocratic scouting runs in liquid chromatography.
    Kensert A; Collaerts G; Efthymiadis K; Desmet G; Cabooter D
    J Chromatogr A; 2021 Feb; 1638():461900. PubMed ID: 33485027
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Applicability of linear and nonlinear retention-time models for reversed-phase liquid chromatography separations of small molecules, peptides, and intact proteins.
    Tyteca E; De Vos J; Vankova N; Cesla P; Desmet G; Eeltink S
    J Sep Sci; 2016 Apr; 39(7):1249-57. PubMed ID: 26829155
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Retention modeling and method development in hydrophilic interaction chromatography.
    Tyteca E; Périat A; Rudaz S; Desmet G; Guillarme D
    J Chromatogr A; 2014 Apr; 1337():116-27. PubMed ID: 24613041
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A perspective on the use of deep deterministic policy gradient reinforcement learning for retention time modeling in reversed-phase liquid chromatography.
    Kensert A; Desmet G; Cabooter D
    J Chromatogr A; 2024 Jan; 1713():464570. PubMed ID: 38101304
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Experimental design and re-parameterization of the Neue-Kuss model for accurate and precise prediction of isocratic retention factors from gradient measurements in reversed phase liquid chromatography.
    Rutan SC; Cash K; Stoll DR
    J Chromatogr A; 2023 Nov; 1711():464443. PubMed ID: 37890376
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Towards a chromatographic similarity index to establish localised quantitative structure-retention relationships for retention prediction. II Use of Tanimoto similarity index in ion chromatography.
    Park SH; Talebi M; Amos RIJ; Tyteca E; Haddad PR; Szucs R; Pohl CA; Dolan JW
    J Chromatogr A; 2017 Nov; 1523():173-182. PubMed ID: 28291517
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Generic approach to the method development of intact protein separations using hydrophobic interaction chromatography.
    Tyteca E; De Vos J; Tassi M; Cook K; Liu X; Kaal E; Eeltink S
    J Sep Sci; 2018 Mar; 41(5):1017-1024. PubMed ID: 29178450
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Benefits of solvent concentration pulses in retention time modelling of liquid chromatography.
    Navarro-Huerta JA; Gisbert-Alonso A; Torres-Lapasió JR; García-Alvarez-Coque MC
    J Chromatogr A; 2019 Jul; 1597():76-88. PubMed ID: 30902430
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Retention prediction of highly polar ionizable solutes under gradient conditions on a mixed-mode reversed-phase and weak anion-exchange stationary phase.
    Balkatzopoulou P; Fasoula S; Gika H; Nikitas P; Pappa-Louisi A
    J Chromatogr A; 2015 May; 1396():72-6. PubMed ID: 25900744
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Applicability of retention modelling in hydrophilic-interaction liquid chromatography for algorithmic optimization programs with gradient-scanning techniques.
    Pirok BWJ; Molenaar SRA; van Outersterp RE; Schoenmakers PJ
    J Chromatogr A; 2017 Dec; 1530():104-111. PubMed ID: 29146427
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Advancing HIC method development: Retention-time modeling and tuning selectivity with ternary mobile-phase systems.
    Ewonde Ewonde R; Molenaar SRA; Broeckhoven K; Eeltink S
    J Chromatogr A; 2024 Aug; 1730():465133. PubMed ID: 38996515
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Retention prediction of low molecular weight anions in ion chromatography based on quantitative structure-retention relationships applied to the linear solvent strength model.
    Park SH; Haddad PR; Talebi M; Tyteca E; Amos RI; Szucs R; Dolan JW; Pohl CA
    J Chromatogr A; 2017 Feb; 1486():68-75. PubMed ID: 28057331
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Gradient-elution parameters in capillary liquid chromatography for high-speed separations of peptides and intact proteins.
    Vaast A; Tyteca E; Desmet G; Schoenmakers PJ; Eeltink S
    J Chromatogr A; 2014 Aug; 1355():149-57. PubMed ID: 24986072
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A general strategy for performing temperature-programming in high performance liquid chromatography--prediction of segmented temperature gradients.
    Wiese S; Teutenberg T; Schmidt TC
    J Chromatogr A; 2011 Sep; 1218(39):6898-906. PubMed ID: 21872258
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Accuracy of retention model parameters obtained from retention data in liquid chromatography.
    Brau T; Pirok B; Rutan S; Stoll D
    J Sep Sci; 2022 Sep; 45(17):3241-3255. PubMed ID: 35304809
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Simulation of elution profiles in liquid chromatography-I: Gradient elution conditions, and with mismatched injection and mobile phase solvents.
    Jeong LN; Sajulga R; Forte SG; Stoll DR; Rutan SC
    J Chromatogr A; 2016 Jul; 1457():41-9. PubMed ID: 27345210
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Thermodynamic modeling of protein retention in mixed-mode chromatography: An extended model for isocratic and dual gradient elution chromatography.
    Lee YF; Graalfs H; Frech C
    J Chromatogr A; 2016 Sep; 1464():87-101. PubMed ID: 27554024
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Probing selectivity of mixed-mode reversed-phase/weak-anion-exchange liquid chromatography to advance method development.
    Dores-Sousa JL; De Vos J; Kok WT; Eeltink S
    J Chromatogr A; 2018 Oct; 1570():75-81. PubMed ID: 30077460
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.