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 *

165 related articles for article (PubMed ID: 24508397)

  • 1. Prediction of the competitive adsorption isotherms of 2-phenylethanol and 3-phenylpropanol by artificial neural networks.
    Wu X; Wang S; Zhang R; Gao Z
    J Chromatogr A; 2014 Mar; 1332():14-20. PubMed ID: 24508397
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Calculation of chromatographic band profiles with an implicit isotherm.
    Kaczmarski K; Antos D
    J Chromatogr A; 1999 Nov; 862(1):1-16. PubMed ID: 10588336
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Extension of a Jovanovic-Freundlich isotherm model to multicomponent adsorption on heterogeneous surfaces.
    Quiñones I; Guiochon G
    J Chromatogr A; 1998 Feb; 796(1):15-40. PubMed ID: 9580124
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Estimation of adsorption isotherm and mass transfer parameters in protein chromatography using artificial neural networks.
    Wang G; Briskot T; Hahn T; Baumann P; Hubbuch J
    J Chromatogr A; 2017 Mar; 1487():211-217. PubMed ID: 28159368
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Isotherm and kinetics study of malachite green adsorption onto copper nanowires loaded on activated carbon: artificial neural network modeling and genetic algorithm optimization.
    Ghaedi M; Shojaeipour E; Ghaedi AM; Sahraei R
    Spectrochim Acta A Mol Biomol Spectrosc; 2015 May; 142():135-49. PubMed ID: 25699703
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Basic concepts of artificial neural network (ANN) modeling and its application in pharmaceutical research.
    Agatonovic-Kustrin S; Beresford R
    J Pharm Biomed Anal; 2000 Jun; 22(5):717-27. PubMed ID: 10815714
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Modeling drug solubility in water-cosolvent mixtures using an artificial neural network.
    Jouyban A; Majidi MR; Jalilzadeh H; Asadpour-Zeynali K
    Farmaco; 2004 Jun; 59(6):505-12. PubMed ID: 15178314
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Artificial neural network modeling in competitive adsorption of phenol and resorcinol from water environment using some carbonaceous adsorbents.
    Aghav RM; Kumar S; Mukherjee SN
    J Hazard Mater; 2011 Apr; 188(1-3):67-77. PubMed ID: 21316853
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Artificial neural network-genetic algorithm based optimization for the adsorption of methylene blue and brilliant green from aqueous solution by graphite oxide nanoparticle.
    Ghaedi M; Zeinali N; Ghaedi AM; Teimuori M; Tashkhourian J
    Spectrochim Acta A Mol Biomol Spectrosc; 2014 May; 125():264-77. PubMed ID: 24556135
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Optimization-based artificial neural networks to fit the isotherm models parameters of aqueous-phase adsorption systems.
    Fagundez JLS; Salau NPG
    Environ Sci Pollut Res Int; 2022 Nov; 29(53):79798-79807. PubMed ID: 34719763
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Determination of competitive adsorption isotherms applying the nonlinear frequency response method. Part II. Experimental demonstration.
    Ilić M; Petkovska M; Seidel-Morgenstern A
    J Chromatogr A; 2009 Aug; 1216(33):6108-18. PubMed ID: 19586634
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Modeling biological oxygen demand of the Melen River in Turkey using an artificial neural network technique.
    Dogan E; Sengorur B; Koklu R
    J Environ Manage; 2009 Feb; 90(2):1229-35. PubMed ID: 18691805
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Artificial Neural Network for predicting biosorption of methylene blue by Spirulina sp.
    Garza-González MT; Alcalá-Rodríguez MM; Pérez-Elizondo R; Cerino-Córdova FJ; Garcia-Reyes RB; Loredo-Medrano JA; Soto-Regalado E
    Water Sci Technol; 2011; 63(5):977-83. PubMed ID: 21411949
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Robust artificial neural network for reliability and sensitivity analyses of complex non-linear systems.
    Oparaji U; Sheu RJ; Bankhead M; Austin J; Patelli E
    Neural Netw; 2017 Dec; 96():80-90. PubMed ID: 28987979
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Adsorption of the enantiomers of 3-chloro-1-phenyl-propanol on silica-bonded chiral quinidine carbamate.
    Asnin L; Kaczmarski K; Felinger A; Gritti F; Guiochon G
    J Chromatogr A; 2006 Jan; 1101(1-2):158-70. PubMed ID: 16236290
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Training artificial neural networks directly on the concordance index for censored data using genetic algorithms.
    Kalderstam J; Edén P; Bendahl PO; Strand C; Fernö M; Ohlsson M
    Artif Intell Med; 2013 Jun; 58(2):125-32. PubMed ID: 23582884
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Comparison of general rate model with a new model--artificial neural network model in describing chromatographic kinetics of solanesol adsorption in packed column by macroporous resins.
    Du X; Yuan Q; Zhao J; Li Y
    J Chromatogr A; 2007 Mar; 1145(1-2):165-74. PubMed ID: 17289066
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Impact of metal ionic characteristics on adsorption potential of Ficus carica leaves using QSPR modeling.
    Batool F; Iqbal S; Akbar J
    J Environ Sci Health B; 2018 Apr; 53(4):276-281. PubMed ID: 29281503
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Prediction of retention times for anions in linear gradient elution ion chromatography with hydroxide eluents using artificial neural networks.
    Madden JE; Avdalovic N; Haddad PR; Havel J
    J Chromatogr A; 2001 Feb; 910(1):173-9. PubMed ID: 11263571
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Preparation of nanomaterials for the ultrasound-enhanced removal of Pb
    Dil EA; Ghaedi M; Asfaram A; Hajati S; Mehrabi F; Goudarzi A
    Ultrason Sonochem; 2017 Jan; 34():677-691. PubMed ID: 27773295
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.