Alignment of two-dimensional electrophoresis gels

Biochemical and Biophysical Research Communications

Volumn 357, Issue 2, 2007, Pages 427-432

  Shi, Guihua ^a   Jiang, Tianzi ^a   Zhu, Wanlin ^a   Liu, Bing ^a   Zhao, Huizhi ^a  

^a INSTITUTE OF AUTOMATION   (China)

Author keywords

2D gel electrophoresis image; ICP algorithm; Image alignment; Informational potential

Indexed keywords

PROTEIN;

ACCURACY; ALGORITHM; ARTICLE; GEOMETRY; INFORMATION; PRIORITY JOURNAL; PROTEIN DATABASE; PROTEOMICS; SEPARATION TECHNIQUE; THEORETICAL MODEL; TWO DIMENSIONAL GEL ELECTROPHORESIS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; ELECTROPHORESIS, GEL, TWO-DIMENSIONAL; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; PHOTOMETRY; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 34247093926     PISSN: 0006291X     EISSN: 10902104     Source Type: Journal    
DOI: 10.1016/j.bbrc.2007.03.165     Document Type: Article

References (19)

1. Pleiner K.P., Hoffmann F., Kriegel K., Wenk C., Wegner S., Sahlsthm A., Oswald H., Alt H., and Fleck E. New algorithmic approaches to protein spot detection and pattern matching in two-dimensional electrophoresis gel databases. Electrophoresis 20 (1999) 755-765
2. Efrat A., Hoffmann F., Kriegel K., Schultz C., and Wenk C. Geometric algorithms for the analysis of 2D-electrophoresis gels. J. Comput. Biol. 9 (2002) 299-316
3. Efrat A., Hoffmann F., Kriegel K., Schultz C., and Wenk C. Geometric algorithms for the analysis of 2D electrophoresis gels. J. ACM (2001) 114-123
4. Potra F.A., Liu X., Seillier-Moiseiwitsch F., Roy A., Hang Y., et al. Protein image alignment via piecewise affine transformations. J. Comput. Biol. 13 (2006)
5. Smilansky Z. Automatic registration for images of two-dimensional protein gels. Electrophoresis 22 (2001) 1616-1626
6. Veeser S., Dunn M.J., and Yang G.Z. Multiresolution image registration for two-dimensional gel electrophoresis. Proteomics 1 (2001) 856-870
7. Rohr K., Cathier P., and Wörz S. Elastic registration of electrophoresis images using intensity information and point landmarks. Pattern Recogn. 37 (2004) 1035-1048
8. Sánchez Sorzano C.O., Thévenaz P., and Unser M. Elastic registration of biological images using vector-spline regularization. IEEE Trans. Biomed. Eng. 52 (2005) 652-663
9. Cachier P., Mangin J.F., Pennec X., Riviere D., Papadopoulos D., Regis J., and Ayache N. Multipatient registration of brain MRI using intensity and geometric features. Proc. Med. Image Comput. Comput. Assist. Interv. (2001) 734-742
10. Little J.A., Hill D.L.G., and Hawkes D.J. Deformations incorporating rigid structures. Comput. Vis. Image Und. 66 (1997) 223-232
11. Besl P.J., and McKay N.D. A method for registration of 3-D shapes. IEEE Trans. Pattern Anal. Mach. Intell. 14 (1992) 239-256
12. Hill D.L.G., Batchelor P.G., Holden M., and Hawkes D.J. Medical image registration. Phys. Med. Biol. 46 (2001) R1-R45
13. J. Principe, D. Xu, Q. Zhao, J. Fisher, Learning from examples with information theoretic criteria, VLSI Signal Proc. Systems, special issue on neural networks, 2000.
14. J. Principe, D. Xu, Information-theoretic learning using Renyi's quadratic entropy, Proc. 1st Intl. Workshop on Independent Component Analysis France (1999) 407-412.
15. Gokcay E., and Pri{dotless}́ncipe J.C. Information theoretic clustering. IEEE Trans. Pattern Anal. Mach. Intell. 24 (2002) 158-171
16. Rusinkiewicz S., and Levoy M. Efficient variants of the ICP algorithm. 3DIM (2001) 145-152
17. Pulli K. Multiview registration for large data sets. Proc. 3DIM (1999)
18. Masuda T., Sakaue K., and Yokoya N. Registration and integration of multiple range images for 3-D model construction. Proc. CVPR (1996)
19. Rogers M., Graham J., and Tonge R.P. Statistical models of shape for the analysis of protein spots in two-dimensional electrophoresis gel images. Proteomics (2003) 887-896