This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Akutsu, T., Miyano, S., and Kuhara, S. (2000). “Algorithms for Identifying Boolean Networks and Related Biological Networks Based on Matrix Multiplication and Fingerprint Function.” Journal of Computational Biology 7:331–343.
Arpe, J. and Reischuk, R. (2003). “Robust Inference of Relevant Attributes.” Lecture Notes in Artificial Intelligence 2842:9–113.
Bagirov, A. M., Ferguson, B., Ivkovic, S., Saunders, G., and Yearwoord, J. (2003). “New Algorithms for Multi-class Cancer Diagnosis Using Tumor Gene Expression Signatures.” Bioinformatics 19:1800–1807.
Blum, A. and Langley, P. (1997). “Selection of Relevant Features and Examples in Machine Learning.” Artificial Intelligence 97:245–271.
Cole, K. A., Krizman, D. B., and Emmert-Buck, M. R. (1999). “The Genetics of Cancer-A 3D Model.” Nature Genetics (Supplement) 21:38–41.
Cortes, C. and Vapnik, V. (1995). “Support-vector Networks.” Machine Learning 20:273–297.
DeRisi, J. L., Lyer, V. R., and Brown, P. O. (1997). “Exploring the Metabolic and Genetic Control of Gene Expression on a Genomic Scale.” Science 278:680–686.
Ding, C. H. Q. (2003). “Unsupervised Feature Selection Via Two-way Ordering in Gene Expression Analysis.” Bioinformatics 19:1259–1266.
Fukagawa, D. and Akutsu, T. (2003). “Performance Analysis of a Greedy Algorithm for Inferring Boolean Functions.” Lecture Notes in Artificial Intelligence 2843:114–127.
Furukawa, N., Matsumoto, S., Shinohara, A., Shoudai, T., and Miyano, S. (1996). “HAKKE: a Multi-strategy Prediction System for Sequences.” Genome Informatics 7:98–107.
Golub, T. R., Slonim, D. K., Tamayo, P., Huard, C., Gaasenbeek, M., Mesirov, J. P., Coller, H., Loh, M. L., 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 Monitoring.” Science 286:531–537.
Kononen, J., Bubendorf, L., Kallioniemi, A., Barlund, M., Schrami, P., Leighton, S., Torhorst, J., Mihatsch, M. J., Sauter, G., and Kallioniemi, O-P. (1998). “Tissue Microarrays for High-throughput Molecular Profiling of Tumor Specimens.” Nature Medicine 4:844–847.
Li, J., Liu, H., Downing, J. R., Yeoh, A. E-J., and Wong, L. (2003). “Simple Rules Underlying Gene Expression Profiles of More Than Six Subtypes of Acute Lymphoblastic Leukemia (ALL) Patients.” Bioinformatics 19:71–78.
Littlestone, N. (1988). “Learning Quickly When Irrelevant Attributes Abound: A New Linear-threshold Algorithm.” Machine Learning 2:285–318.
Littlestone, N. and Warmuth, M. K. (1994). “The Weighted Majority Algorithm.” Information and Computation 108:212–261.
Mossel, E., O’Donnell, R., and Servedio, R. P. (2003). “Learning Juntas.” Proc 35th ACM Symposium on Theory of Computing pp. 206–212. ACM Press.
Noda, K., Shinohara, A., Takeda, M., Matsumoto, S., Miyano, S., and Kuhara, S. (1998). “Finding Genetic Network from Experiments by Weighted Network Model.” Genome Informatics 9:141–150.
Tsunoda, T., Hojo, Y., Kihara, C., Shiraishi, N., Kitahara, O., Ono, K., Tanaka, T., Takagi, T., and Nakamura, Y. (2000). “Diagnosis System of Drug Sensitivity of Cancer Using cDNA Microarray and Multivariate Statistical Analysis.” In: Currents in Computational Molecular Biology pp. 16–17. Universal Academy Press.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer Science+Business Media, Inc.
About this chapter
Cite this chapter
Akutsu, T., Miyano, S. (2006). Selecting Informative Genes for Cancer Classification Using Gene Expression Data. In: Zhang, W., Shmulevich, I. (eds) Computational and Statistical Approaches to Genomics. Springer, Boston, MA. https://doi.org/10.1007/0-387-26288-1_6
Download citation
DOI: https://doi.org/10.1007/0-387-26288-1_6
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-26287-1
Online ISBN: 978-0-387-26288-8
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)