Class Prediction


Using a data set that contains known samples, create a model (also referred to as a class predictor or classifier) that can be used to predict the class of a previously unknown sample.

Click the desired algorithm


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Golub, T.R., Slonim, D.K., Tamayo, P., Huard, C., Gaasenbeek, M., Mesirov, J.P., Coller, H., Loh, M., Downing, J.R., Caligiuri, M.A., Bloomfield, C.D., and Lander, E.S. 1999. Molecular Classification of Cancer: Class Discovery and Class Prediction by Gene Expression. Science 286:531-537.

Lu, J., Getz, G., Miska, E.A., Alvarez-Saavedra, E., Lamb, J., Peck, D., Sweet-Cordero, A., Ebert, B.L., Mak, R.H., Ferrando, A.A, Downing, J.R., Jacks, T., Horvitz, H.R., Golub, T.R. 2005. MicroRNA expression profiles classify human cancers. Nature 435:834-838.

Rifkin, R., Mukherjee, S., Tamayo, P., Ramaswamy, S., Yeang, C-H, Angelo, M., Reich, M., Poggio, T., Lander, E.S., Golub, T.R., Mesirov, J.P. 2003. An Analytical Method for Multiclass Molecular Cancer Classification. SIAM Review 45(4):706-723.

Slonim, D.K., Tamayo, P., Mesirov, J.P., Golub, T.R., Lander, E.S. 2000. Class prediction and discovery using gene expression data. In Proceedings of the Fourth Annual International Conference on Computational Molecular Biology (RECOMB). ACM Press, New York. pp. 263-272.

Specht, D. F. 1990. Probabilistic Neural Networks. Neural Networks 3(1):109-118. Elsevier Science Ltd., St. Louis.