Reconstruction of overlapped protein spots using RBF networks

Elektronika ir Elektrotechnika

Volumn , Issue 1, 2008, Pages 83-88

  Serackis, A ^a   Navakauskas, D ^a  

^a VILNIUS GEDIMINAS TECHNICAL UNIVERSITY   (Lithuania)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 57849084059     PISSN: 13921215     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (9)

1. Carr J. C., Beaton R. K., Cherrie J. B., et al. Reconstruction and representation of 3D objects with radial basis functions // Proceedings of the 28th annual conference on Computer graphics and interactive techniques. - New York: ACM Press, 2001. - P. 67-76. (Pubitemid 33047291)
2. Jain L. C. Recent Advances in Artificial Neural Networks: Design and Applications // ENGnetBASE. - CRC Press LCC. - 2000.
3. Chen S., Cowan C. F. N, Grant P. M. Orthogonal least squares learning algorithm for radial basis functions networks // IEEE Transactions on Neural Networks. - 1991. - No. 2(2). - P. 302-309.
4. Campbell C. Constructive Learning Techniques for Designing Neural Network Systems // In (ed CT Leondes) Neural Network Systems Technologies and Applications. - San Diego: Academic Press, 1997.
5. Hartigan J. A., Wong M. A. A K-Means Clustering Algorithm // Applied Statistics. - 1979. - No. 28. - P. 100-108.
6. Dempster A., Laird N., Rubin D. Maximum likelihood from incomplete data via the EM algorithm // Journal of the Royal Statistical Society, Series B. - 1977. - No. 39(1). - P. 1-38.
7. Matuzevičius D., Serackis A., Navakauskas D. Mathematical Models of Oversaturated Protein Spots // Electronics and Electrical Engineering. - Kaunas: Technologija, 2007. - No. 1(73). - P. 63-68.
8. Matuzevičius D., Serackis A., Navakauskas D. Improved Segmentation of 2D Electrophoresis Gel images by the Use of Bell Shape Function // Biomedicinin inžinerija. Tarptautins konferencijos pranešim medžiaga. Kaunas: Technologija, 2006. - P. 150-153.
9. Matuzevičius D., Navakauskas D. Investigation of Segmentation Methods for Proteomics // Electronics and Electrical Engineering, 2005. - No. 7(63). - P. 74-78.