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 *

79 related articles for article (PubMed ID: 12503134)

  • 1. Application of artificial neural networks to combinatorial catalysis: modeling and predicting ODHE catalysts.
    Corma A; Serra JM; Argente E; Botti V; Valero S
    Chemphyschem; 2002 Nov; 3(11):939-45. PubMed ID: 12503134
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Visualization of high-dimensional combinatorial catalysis data.
    Suh C; Sieg SC; Heying MJ; Oliver JH; Maier WF; Rajan K
    J Comb Chem; 2009; 11(3):385-92. PubMed ID: 19298082
    [TBL] [Abstract][Full Text] [Related]  

  • 3. An alternative approach for neural network evolution with a genetic algorithm: crossover by combinatorial optimization.
    García-Pedrajas N; Ortiz-Boyer D; Hervás-Martínez C
    Neural Netw; 2006 May; 19(4):514-28. PubMed ID: 16343847
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Combinatorial chemistry approach to chiral catalyst engineering and screening: rational design and serendipity.
    Ding K; Du H; Yuan Y; Long J
    Chemistry; 2004 Jun; 10(12):2873-84. PubMed ID: 15214068
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Prediction of enantiomeric excess in a combinatorial library of catalytic enantioselective reactions.
    Aires-de-Sousa J; Gasteiger J
    J Comb Chem; 2005; 7(2):298-301. PubMed ID: 15762759
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Comparison of single- and multiobjective design of experiment in combinatorial chemistry for the selective dehydrogenation of propane.
    Llamas-Galilea J; Gobin OC; Schüth F
    J Comb Chem; 2009; 11(5):907-13. PubMed ID: 19746992
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Screening of Adsorbent/Catalyst Composite Monoliths for Carbon Capture-Utilization and Ethylene Production.
    Lawson S; Baamran K; Newport K; Rezaei F; Rownaghi A
    ACS Appl Mater Interfaces; 2021 Nov; 13(46):55198-55207. PubMed ID: 34757709
    [TBL] [Abstract][Full Text] [Related]  

  • 8. MAP: an iterative experimental design methodology for the optimization of catalytic search space structure modeling.
    Baumes LA
    J Comb Chem; 2006; 8(3):304-14. PubMed ID: 16676999
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Photocatalytic ethane conversion on rutile TiO
    Li F; Lai Y; Zeng Y; Chen X; Wang T; Yang X; Guo Q
    Chem Sci; 2023 Dec; 15(1):307-316. PubMed ID: 38131087
    [TBL] [Abstract][Full Text] [Related]  

  • 10. On the suitability of different representations of solid catalysts for combinatorial library design by genetic algorithms.
    Gobin OC; Schüth F
    J Comb Chem; 2008; 10(6):835-46. PubMed ID: 18693763
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Cobalt catalyzed ethane dehydrogenation to ethylene with CO
    Chen M; Liu H; Wang Y; Zhong Z; Zeng Y; Jin Y; Ye D; Chen L
    J Colloid Interface Sci; 2024 Apr; 660():124-135. PubMed ID: 38241861
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Multi-objective evolutionary optimization for constructing neural networks for virtual reality visual data mining: application to geophysical prospecting.
    Valdés JJ; Barton AJ
    Neural Netw; 2007 May; 20(4):498-508. PubMed ID: 17532610
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Design of electroceramic materials using artificial neural networks and multiobjective evolutionary algorithms.
    Scott DJ; Manos S; Coveney PV
    J Chem Inf Model; 2008 Feb; 48(2):262-73. PubMed ID: 18217739
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Polynomial harmonic GMDH learning networks for time series modeling.
    Nikolaev NY; Iba H
    Neural Netw; 2003 Dec; 16(10):1527-40. PubMed ID: 14622880
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Applications of Artificial Neural Networks in integrated water management: fiction or future?
    Schulze FH; Wolf H; Jansen HW; van der Veer P
    Water Sci Technol; 2005; 52(9):21-31. PubMed ID: 16445170
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Multiobjective hybrid optimization and training of recurrent neural networks.
    Delgado M; Cuéllar MP; Pegalajar MC
    IEEE Trans Syst Man Cybern B Cybern; 2008 Apr; 38(2):381-403. PubMed ID: 18348922
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Application of artificial neural networks in the prediction of product distribution in electrophoretically mediated microanalysis.
    Riveros TA; Porcasi L; Muliadi S; Hanrahan G; Gomez FA
    Electrophoresis; 2009 Jul; 30(13):2385-9. PubMed ID: 19621365
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Risk factor identification and mortality prediction in cardiac surgery using artificial neural networks.
    Nilsson J; Ohlsson M; Thulin L; Höglund P; Nashef SA; Brandt J
    J Thorac Cardiovasc Surg; 2006 Jul; 132(1):12-9. PubMed ID: 16798296
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Application of serum protein fingerprinting coupled with artificial neural network model in diagnosis of hepatocellular carcinoma.
    Wang JX; Zhang B; Yu JK; Liu J; Yang MQ; Zheng S
    Chin Med J (Engl); 2005 Aug; 118(15):1278-84. PubMed ID: 16117882
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Applications of self-organizing neural networks in virtual screening and diversity selection.
    Selzer P; Ertl P
    J Chem Inf Model; 2006; 46(6):2319-23. PubMed ID: 17125175
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 4.