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The symmetric eigenvalue problem
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IEEE Transactions on Pattern Analysis and Machine Intelligence
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AINA '06 Proceedings of the 20th International Conference on Advanced Information Networking and Applications - Volume 02
A classification method based on generalized eigenvalue problems
Optimization Methods & Software - Systems Analysis, Optimization and Data Mining in Biomedicine
Data Mining in Biomedicine
Data Mining, Systems Analysis, and Optimization in Biomedicine
Data Mining, Systems Analysis, and Optimization in Biomedicine
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Discrimination of different cell types is very important in many medical and biological applications. Existing methodologies are based on cost inefficient technologies or tedious one-by-one empirical examination of the cells. Recently, Raman spectroscopy, a inexpensive and efficient method, has been employed for cell discrimination. Nevertheless, the traditional protocols for analyzing Raman spectra require preprocessing and peak fitting analysis which does not allow simultaneous examination of many spectra. In this paper we examine the applicability of supervised learning algorithms in the cell differentiation problem. Five different methods are presented and tested on two different datasets. Computational results show that machine learning algorithms can be employed in order to automate cell discrimination tasks.abstract