Artificial neural network modeling of apoptosis in gamma irradiated human lymphocytes

International Journal of Radiation Biology

Volumn 81, Issue 11, 2005, Pages 827-840

  Liberda, Jonathan J ^a   Schnarr, Kara ^a   Coulibaly, Paulin ^a   Boreham, Douglas R ^a  

^a MCMASTER UNIVERSITY   (Canada)

Author keywords

Apoptosis; Biomathematics; Flow cytometry; Lymphocytes; Models of cell killing

Indexed keywords

FLUORESCEIN ISOTHIOCYANATE; LIPOCORTIN 5;

ACCURACY; APOPTOSIS; ARTICLE; ARTIFICIAL NEURAL NETWORK; DOSE RESPONSE; FEASIBILITY STUDY; FLOW CYTOMETRY; GAMMA IRRADIATION; HUMAN; HUMAN TISSUE; INFORMATION PROCESSING; LABELING INDEX; LYMPHOCYTE; MEDICAL ERROR; MULTIVARIATE ANALYSIS; PRIORITY JOURNAL; RADIATION DOSE; RADIOBIOLOGY; TRAINING; VALIDATION PROCESS;

APOPTOSIS; CELLS, CULTURED; COMPUTER SIMULATION; DOSE-RESPONSE RELATIONSHIP, RADIATION; FLOW CYTOMETRY; GAMMA RAYS; HUMANS; LYMPHOCYTES; MODELS, BIOLOGICAL; NEURAL NETWORKS (COMPUTER); RADIATION DOSAGE;

EID: 32644432164     PISSN: 09553002     EISSN: 13623095     Source Type: Journal    
DOI: 10.1080/09553000600554283     Document Type: Article

References (21)

1. Bijwaard H, Brugmans MJP, Leenhouts HP. 2001. A consistent two-mutation model of lung cancer for different data sets of radon-exposed rats. Radiation Environmental Biophysics 40: 269-277.
2. Boreham DR, Gale KL, Maves SR, Walker JA, Morrison DP. 1996. Radiation-induced apoptosis in human lymphocytes: potential as a biological dosimeter. Health Physics 71(5): 685-691.
3. Coulibaly P, Anctil F, Bobée B. 1999. Prévision hydrologique par réseaux de neurone artificiels : état de l'art. Canadian Journal of Civil Engineering 26:293-304.
4. Coulibaly P, Anctil F, Bobee B. 2000. Daily reservoir inflow forecasting using artificial neural networks with stopped training approach. Journal of Hydrology 230(3-4):244-257.
5. Coulibaly P, Anctil F, Bobee B. 2001. Multivariate reservoir inflow forecasting using temporal neural networks. ASCE Journal of Hydrologic Engineering 6(5):367-376.
6. Cucinotta FA, Wilson JW, Townsend LW, Shinn JL, Katz R. 1992. Track structure model for damage to mammalian cell cultures during solar proton events. Nuclear Tracks Radiation Measurement 20(1):177-184.
7. Cybenko G. 1989. Approximation by superposition of a sigmoidal function. Mathematical Control Signals Systems 2: 303-314.
8. Frankel DS, Olson RJ, Frankel SL, Chrisholm SW. 1989. Use of a neural network computer system for analysis of flow cytometer data of phytoplankton populations. Cytometry 10: 540-550.
9. Gaweda AE, Jacobs AA, Brier ME, Zurada JM. 2003. Pharmacodynamic population analysis in chronic renal failure using artificial neural networks - a comparative study. Neural Networks 16:841-845.
10. Haykin S. 1999. Neural networks: A comprehensive foundation. New Jersey: Prentice Hall.
11. Hornik K, Stinchcombe M, White H. 1989. Multilayer feedforward networks are universal approximators. Neural Networks 2(5):359-366.
12. Katz R, Ackerson B, Homayoonfar M, Scharma SC. 1971. Inactivation of cells by heavy ion bombardment. Radiation Research 47:402-425.
13. Leenhouts HP, Brugmans MJP, Chadwick KH. 2000. Analysis of thyroid cancer data from the Ukraine after 'Chernobyl' using a two-mutation carcinogenesis model. Radiation Environmental Biophysics 39:89-98.
14. Lisboa PJG. 2002. A review of evidence of health benefit from artificial neural networks in medical intervention. Neural Networks 15:11-39.
15. Maier HR, Dandy GC. 2000. Neural networks for the prediction and forecasting of water resources variables: A review of modelling issues and applications. Environmental Modelling and Software 15:101-124.
16. Musavi MT, Bryant RJ, Qiao M, Davisson MT, Akeson EC, French BD. 1998. Mouse chromosome classification by radial basis function network with fast orthogonal search. Neural Networks 11:769-777.
17. Saad EW, Prokhorov DV, Wunsch DC. 1998. Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks. IEEE Transactions on Neural Networks 9(6):1456-1470.
18. Schmitz A, Bayer J, Dechamps N, Thomas G. 2003. Intrinsic susceptibility to radiation-induced apoptosis of human lymphocytes subpopulations. International Journal of Radiation Oncology Biology Physics 57(3):769-778.
19. Scott BR. 1997. A mechanistic model for neoplastic transformation of cells by high let radiation and its implications for low dose, low dose rate risk assessment. Radiation Protection Dosimetry 72(2):105-117.
20. Tkacz G. 2001. Neural network forecasting of Canadian GDP growth. International Journal of Forecasting 17:57-69.
21. Van Engeland M, Ramaekers FC, Schutte B. 1996. Reutelingsperger. A novel assay to measure loss of plasma membrane asymmetry during apoptosis of adherent cells in culture. Cytometry 24:131-139.