Supervised classification methods for mining cell differences as depicted by raman spectroscopy

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6685 LNBI, Issue , 2011, Pages 112-122

  Xanthopoulos, Petros ^a   De Asmundis, Roberta ^b   Guarracino, Mario Rosario ^b   Pyrgiotakis, Georgios ^c   Pardalos, Panos M ^a,c  

^a University of Florida   (United States)

^b CNR   (Italy)

^c UNIVERSITY OF FLORIDA   (United States)

Author keywords

Cell discrimination; Raman spectroscopy; Supervised classification

Indexed keywords

BIOLOGICAL APPLICATIONS; CELL DIFFERENTIATION; CELL TYPES; COMPUTATIONAL RESULTS; DATA SETS; EFFICIENT METHOD; EMPIRICAL EXAMINATION; PEAK FITTING; SUPERVISED CLASSIFICATION; DISCRIMINATION TASKS;

ARTIFICIAL INTELLIGENCE; BIOINFORMATICS; COMPUTER AIDED DIAGNOSIS; LEARNING ALGORITHMS; RAMAN SCATTERING; RAMAN SPECTROSCOPY; CELLS; CYTOLOGY; LEARNING SYSTEMS; SUPERVISED LEARNING;

CELLS; LEARNING ALGORITHMS;

EID: 80051686140     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21946-7_9     Document Type: Conference Paper

References (16)

1. Powers, K., Brown, S., Krishna, V., Wasdo, S., Moudgil, B., Roberts, S.: Research strategies for safety evaluation of nanomaterials. Part VI. Characterization of nanoscale particles for toxicological evaluation. Toxicological Sciences 90, 296-303 (2006)
2. Bhowmick, T., Pyrgiotakis, G., Finton, K., Suresh, A., Kane, S., Moudgil, B., Bellare, J.: A study of the effect of JB particles on Saccharomyces cerevisiae (yeast) cells by Raman spectroscopy. Journal of Raman Spectroscopy 39, 1859-1868 (2008)
3. Pardalos, P., Boginski, V., Vazacopoulos, A.: Data Mining in Biomedicine. Springer, Heidelberg (2007)
4. Seref, O., Kundakcioglu, O., Pardalos, P.: Data Mining, Systems Analysis, and Optimization in Biomedicine. In: AIP Conference Proceedings (2007)
5. Pyrgiotakis, G., Kundakcioglu, O.E., Finton, K., Pardalos, P.M., Powers, K., Moudgil, B.M.: Cell death discrimination with Raman spectroscopy and Support Vector Machines. Annals of Biomedical Engineering 37, 1464-1473 (2009)
6. Vapnik, V.: The Nature of Statistical Learning Theory. Springer, New York (1995)
7. Mangasarian, O.L., Wild, E.W.: Multisurface proximal Support Vector Machine classification via generalized eigenvalues. IEEE Trans. Pattern Anal. Mach. Intell. 28, 69-74 (2006) (Pubitemid 46395305)
8. Parlett, B.N.: The Symmetric Eigenvalue Problem (Classics in Applied Mathematics). SIAM, Philadelphia (1987)
9. Fisher, R.: The use of multiple measurements in taxonomic problems. Annals of Eugenics 7, 179-188 (1936)
10. Yan, R.: MATLAB Arsenal-A Matlab Package for Classification Algorithms. Informedia, School of Computer Science, Carnegie Mellon University (2006)
11. Chang, C.C., Lin, C.J.: LIBSVM: a library for support vector machines (2001), Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm
12. Guarracino, M.R., Cifarelli, C., Seref, O., Pardalos, P.M.: A classification method based on generalized eigenvalue problems. Optimization Methods and Software 22, 73-81 (2007) (Pubitemid 44878959)
13. Guarracino, M., Cifarelli, C., Seref, O., Pardalos, P.: A parallel classification method for genomic and proteomic problems. In: 20th International Conference on Advanced Information Networking and Applications, AINA 2006, vol. 2, pp. 588-592 (2006) (Pubitemid 44761390)
14. Della Pietra, S., Della Pietra, V., Lafferty, J., Technol, R., Brook, S.: Inducing features of random fields. IEEE Transactions on Pattern Analysis and Machine Intelligence 19, 380-393 (1997) (Pubitemid 127762893)
15. Notingher, I., Green, C., Dyer, C., Perkins, E., Hopkins, N., Lindsay, C., Hench, L.L.: Discrimination between ricin and sulphur mustard toxicity in vitro using Raman spectroscopy. Journal of The Royal Society Interface 1, 79-90 (2004)
16. Owen, C.A., Selvakumaran, J., Notingher, I., Jell, G., Hench, L.L., Stevens, M.M.: In vitro toxicology evaluation of pharmaceuticals using Raman micro-spectroscopy. J. Cell. Biochem. 99, 178-186 (2006) (Pubitemid 44297962)