Cell Biochemistry and Biophysics

, Volume 27, Issue 3, pp 227–230 | Cite as

On the role of a mutational database in building artificial intelligence models for understanding gene expression

  • T. Murlidharan Nair
  • B. D. Kulkarni
Letter to the Editor


Artificial Neural Network Model Cell Biochemistry Biophysics Volume Mutational Database Negative Regulatory Element 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Nair, T. M., Tambe, S. S., and Kulkarni, B. D. (1995) Analysis of transcription control signals using artificial neural network.CABIOS 3, 293–300.Google Scholar
  2. 2.
    Myers, R. M., Tilly, K., and Maniatis, T. (1986) Fine structure genetic analysis of a β-globin promoter.Science 232, 613–618.PubMedCrossRefGoogle Scholar
  3. 3.
    Higgs, D. R., Vickers, M. A., Wilkie, A. O. M., et al. (1989) A review of molecular genetics of the human β-globin gene cluster.Blood 73, 1081–1104.PubMedGoogle Scholar
  4. 4.
    Rumelhart, D. E., Hinton, G. E., and Williams, R. J. (1986) Learning representations by back-propagating errors.Nature 323, 533–536.CrossRefGoogle Scholar

Copyright information

© Humana Press Inc 1997

Authors and Affiliations

  • T. Murlidharan Nair
    • 1
    • 2
  • B. D. Kulkarni
    • 2
  1. 1.Department of Medicinal ChemistryUniversity of UtahSalt Lake City
  2. 2.Chemical Engineering DivisionNational Chemical LaboratoryPuneIndia

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