{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T13:28:05Z","timestamp":1760707685090,"version":"3.32.0"},"publisher-location":"Berlin, Heidelberg","reference-count":24,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540357483"},{"type":"electronic","value":"9783540357506"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2006]]},"DOI":"10.1007\/11785231_94","type":"book-chapter","created":{"date-parts":[[2006,7,2]],"date-time":"2006-07-02T06:01:11Z","timestamp":1151820071000},"page":"899-908","source":"Crossref","is-referenced-by-count":11,"title":["Leukemia Prediction from Gene Expression Data\u2014A Rough Set Approach"],"prefix":"10.1007","author":[{"given":"Jianwen","family":"Fang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jerzy W.","family":"Grzymala-Busse","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"94_CR1","first-page":"235","volume-title":"Machine Learning. Paradigms and Methods","author":"L.B. Booker","year":"1990","unstructured":"Booker, L.B., Goldberg, D.E., Holland, J.F.: Classifier systems and genetic algorithms. In: Carbonell, J.G. (ed.) Machine Learning. Paradigms and Methods, pp. 235\u2013282. The MIT Press, Menlo Park (1990)"},{"key":"94_CR2","doi-asserted-by":"crossref","unstructured":"Broberg, P.: Statistical methods for ranking differentially expressed genes. Genome Biology\u00a04 (2003), http:\/\/genomebiology.com","DOI":"10.1186\/gb-2003-4-6-r41"},{"key":"94_CR3","doi-asserted-by":"publisher","first-page":"3385","DOI":"10.1093\/bioinformatics\/bti526","volume":"21","author":"W. Chu","year":"2005","unstructured":"Chu, W., Ghahramani, Z., Falciani, F., Wild, D.L.: Biomarker discovery in microarray gene expression data with Gaussian processes. Bioinformatics\u00a021, 3385\u20133393 (2005)","journal-title":"Bioinformatics"},{"key":"94_CR4","doi-asserted-by":"crossref","first-page":"907","DOI":"10.1164\/ajrccm.159.3.9806062","volume":"159","author":"A.J. Cohen","year":"1999","unstructured":"Cohen, A.J., Franklin, W.A., Magill, C., Sorenson, J., Miller, Y.E.: Low neutral endopeptidase levels in bronchoalveolar lavage fluid of lung cancer patients. American Journal of Respiratory and Critical Care Medicine\u00a0159, 907\u2013910 (1999)","journal-title":"American Journal of Respiratory and Critical Care Medicine"},{"key":"94_CR5","doi-asserted-by":"publisher","first-page":"531","DOI":"10.1126\/science.286.5439.531","volume":"286","author":"T.R. Golub","year":"1999","unstructured":"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., et al.: Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring. Science\u00a0286, 531\u2013537 (1999)","journal-title":"Science"},{"key":"94_CR6","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/BF00437317","volume":"1","author":"J.W. Grzymala-Busse","year":"1988","unstructured":"Grzymala-Busse, J.W.: Knowledge acquisition under uncertainty\u2014A rough set approach. Journal of Intelligent & Robotic Systems\u00a01, 3\u201316 (1988)","journal-title":"Journal of Intelligent & Robotic Systems"},{"key":"94_CR7","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1007\/978-94-015-7975-9_1","volume-title":"Intelligent Decision Support. Handbook of Applications and Advances of the Rough Sets Theory","author":"J.W. Grzymala-Busse","year":"1992","unstructured":"Grzymala-Busse, J.W.: LERS\u2014A system for learning from examples based on rough sets. In: Slowinski, R. (ed.) Intelligent Decision Support. Handbook of Applications and Advances of the Rough Sets Theory, pp. 3\u201318. Kluwer Academic Publishers, Dordrecht (1992)"},{"key":"94_CR8","doi-asserted-by":"crossref","first-page":"27","DOI":"10.3233\/FI-1997-3113","volume":"31","author":"J.W. Grzymala-Busse","year":"1997","unstructured":"Grzymala-Busse, J.W.: A new version of the rule induction system LERS. Fundamenta Informaticae\u00a031, 27\u201339 (1997)","journal-title":"Fundamenta Informaticae"},{"key":"94_CR9","unstructured":"Grzymala-Busse, J.W.: MLEM2: A new algorithm for rule induction from imperfect data. In: Proceedings of the 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2002, July 1\u20135, 2002, Annecy, France, pp. 243\u2013250 (2002)"},{"key":"94_CR10","unstructured":"Grzymala-Busse, J.W., Goodwin, L.K., Grzymala-Busse, W.J., Zheng, X.: An approach to imbalanced data sets based on changing rule strength. In: Learning from Imblanced Data Sets, AAAI Workshop at the 17th Conference on AI, AAAI-2000, Austin, TX, July 30\u201331, 2000, pp. 69\u201374 (2000)"},{"key":"94_CR11","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/3729.001.0001","volume-title":"Induction. Processes of Inference, Learning, and Discovery","author":"J.H. Holland","year":"1986","unstructured":"Holland, J.H., Holyoak, K.J., Nisbett, R.E.: Induction. Processes of Inference, Learning, and Discovery. The MIT Press, Menlo Park (1986)"},{"key":"94_CR12","doi-asserted-by":"crossref","unstructured":"Jirapech-Umpai, T., Aitken, S.: Feature selection and classification for microarray data analysis: Evolutionary methods for identifying predictive genes. BMC Bioinformatics\u00a06 (2005), http:\/\/www.biomedcentral.com","DOI":"10.1186\/1471-2105-6-148"},{"key":"94_CR13","first-page":"432","volume":"58","author":"T. Kuopio","year":"1998","unstructured":"Kuopio, T., Kankaanranta, A., Jalava, P., Kronqvist, P., Kotkansalo, T., Weber, E., Collan, Y.: Cysteine proteinase inhibitor cystatin A in breast cancer. Cancer Research\u00a058, 432\u2013436 (1998)","journal-title":"Cancer Research"},{"key":"94_CR14","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1093\/bioinformatics\/19.1.90","volume":"19","author":"K.E. Lee","year":"2003","unstructured":"Lee, K.E., Sha, N.J., Dougherty, E.R., Vannucci, M., Mallick, B.K.: Gene selection: a Bayesian variable selection approach. Bioinformatics\u00a019, 90\u201397 (2003)","journal-title":"Bioinformatics"},{"key":"94_CR15","doi-asserted-by":"publisher","first-page":"840","DOI":"10.1038\/modpathol.3800129","volume":"17","author":"N. Mori","year":"2004","unstructured":"Mori, N., Murakami, Y.I., Shimada, S., Iwamizu-Watanabe, S., Yamashita, Y., Hasegawa, Y., Kojima, H., Nagasawa, T.: TIA-1 expression in hairy cell leukemia. Modern Pathology\u00a017, 840\u2013846 (2004)","journal-title":"Modern Pathology"},{"key":"94_CR16","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1093\/bioinformatics\/18.1.39","volume":"18","author":"D.V. Nguyen","year":"2002","unstructured":"Nguyen, D.V., Rocke, D.M.: Tumor classification by partial least squares using microarray gene expression data. Bioinformatics\u00a018, 39\u201350 (2002)","journal-title":"Bioinformatics"},{"key":"94_CR17","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1007\/BF01001956","volume":"11","author":"Z. Pawlak","year":"1982","unstructured":"Pawlak, Z.: Rough Sets. International Journal of Computer and Information Sciences\u00a011, 341\u2013356 (1982)","journal-title":"International Journal of Computer and Information Sciences"},{"key":"94_CR18","volume-title":"Theoretical Aspects of Reasoning about Data","author":"Z. Pawlak","year":"1991","unstructured":"Pawlak, Z.: Rough Sets. In: Theoretical Aspects of Reasoning about Data, Kluwer Academic Publishers, Dordrecht (1991)"},{"key":"94_CR19","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1111\/j.1365-2141.2005.05594.x","volume":"130","author":"E. Sakhinia","year":"2005","unstructured":"Sakhinia, E., Faranghpour, M., Yin, J.A.L., Brady, G., Hoyland, J.A., Byers, R.J.: Routine expression profiling of microarray gene signatures in acute leukaemia by real-time PCR of human bone marrow. British Journal of Haematology\u00a0130, 233\u2013248 (2005)","journal-title":"British Journal of Haematology"},{"key":"94_CR20","doi-asserted-by":"publisher","first-page":"1755","DOI":"10.1016\/S0002-9440(10)61122-4","volume":"160","author":"D.G. Souza","year":"2002","unstructured":"Souza, D.G., Soares, A.C., Pinho, V., Torloni, H., Reis, L.F.L., Martins, M.T., Dias, A.A.M.: Increased mortality and inflammation in tumor necrosis factor-stimulated gene-14 transgenic mice after ischemia and reperfusion injury. American Journal of Pathology\u00a0160, 1755\u20131765 (2002)","journal-title":"American Journal of Pathology"},{"key":"94_CR21","doi-asserted-by":"publisher","first-page":"1227","DOI":"10.1101\/gr.165101","volume":"11","author":"J.G. Thomas","year":"2001","unstructured":"Thomas, J.G., Olson, J.M., Tapscott, S.J., Zhao, L.P.: An efficient and robust statistical modeling approach to discover differentially expressed genes using genomic expression profiles. Genome Research\u00a011, 1227\u20131236 (2001)","journal-title":"Genome Research"},{"key":"94_CR22","doi-asserted-by":"publisher","first-page":"1964","DOI":"10.1093\/bioinformatics\/bti287","volume":"21","author":"S.A. Vinterbo","year":"2005","unstructured":"Vinterbo, S.A., Kim, E.Y., Ohno-Machado, L.: Small, fuzzy and interpretable gene expression based classifiers. Bioinformatics\u00a021, 1964\u20131970 (2005)","journal-title":"Bioinformatics"},{"key":"94_CR23","doi-asserted-by":"crossref","first-page":"4831","DOI":"10.1002\/j.1460-2075.1994.tb06809.x","volume":"13","author":"I. Wadman","year":"1994","unstructured":"Wadman, I., Li, J.X., Bash, R.O., Forster, A., Osada, H., Rabbitts, T.H., Baer, R.: Specific in-vivo association between the Bhlh and Lim proteins implicated in human T-cell leukemia. EMBO Journal\u00a013, 4831\u20134839 (1994)","journal-title":"EMBO Journal"},{"key":"94_CR24","doi-asserted-by":"publisher","first-page":"2394","DOI":"10.1093\/bioinformatics\/bti319","volume":"21","author":"K.Y. Yeung","year":"2005","unstructured":"Yeung, K.Y., Bumgarner, R.E., Raftery, A.E.: Bayesian model averaging: development of an improved multi-class, gene selection and classification tool for microarray data. Bioinformatics\u00a021, 2394\u20132402 (2005)","journal-title":"Bioinformatics"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence and Soft Computing \u2013 ICAISC 2006"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/11785231_94.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,9]],"date-time":"2025-01-09T17:32:52Z","timestamp":1736443972000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/11785231_94"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2006]]},"ISBN":["9783540357483","9783540357506"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/11785231_94","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2006]]}}}