Mining functional information from cereal genomes – the utility of expressed sequence tags

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Sreenivasulu, N., Kavi Kisor, P.B., Varshney, R.K., Altschmied, L. Mining functional information from cereal genomes – the utility of expressed sequence tags. Science, 2002, 83(8).

A comparison of microarray databases

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Gardiner-Garden M., Littlejohn T.G. A comparison of microarray databases. Briefings in Bioinformatics, 2001, 2(2), 143-158.

The miracle of microarray data analysis

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Leung, Y.F., Lam, D.S.C., Pang, C.P. The miracle of microarray data analysis. Genome Biology, 2001, 2(9), 17-19.

Making sense of large-scale gene expression data with simple computational techniques

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Fuhrman, S., Cunningham, M.J., Liang, S., Wen, X., Somogyi, R. Making sense of large-scale gene expression data with simple computational techniques. American Biotechnology Laboratory, 2000, 18(10).

Intelligent data analysis for protein disorder prediction

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Romero, P., Obradovic, Z., Dunker, A.K. Intelligent data analysis for protein disorder prediction. Artificial Intelligence Review, 2000, 14(6), 447-484.

Data Mining Your Website

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Mena, J. Data Mining Your Website. Woburn, MA: Butterworth-Heinmann, 1999.

Data mining using MLC++. A machine learning library in C++

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Kohavi, R., Sommerfield, D., Dougherty, J. Data mining using MLC++. A machine learning library in C++. International Journal of Artificial Intelligence Tools, 1998, 6(4), 537-566.