{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:03:21Z","timestamp":1750219401317,"version":"3.41.0"},"publisher-location":"Berlin, Heidelberg","reference-count":16,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540278313"},{"type":"electronic","value":"9783540318842"}],"license":[{"start":{"date-parts":[[2005,1,1]],"date-time":"2005-01-01T00:00:00Z","timestamp":1104537600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2005,1,1]],"date-time":"2005-01-01T00:00:00Z","timestamp":1104537600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2005]]},"DOI":"10.1007\/11527770_68","type":"book-chapter","created":{"date-parts":[[2010,12,22]],"date-time":"2010-12-22T08:42:35Z","timestamp":1293007355000},"page":"514-523","source":"Crossref","is-referenced-by-count":6,"title":["Conquering the Curse of Dimensionality in Gene Expression Cancer Diagnosis: Tough Problem, Simple Models"],"prefix":"10.1007","author":[{"given":"Minca","family":"Mramor","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gregor","family":"Leban","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Janez","family":"Dem\u0161ar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bla\u017e","family":"Zupan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"68_CR1","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., et al.: Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring. Science\u00a0286, 531\u2013537 (1999)","journal-title":"Science"},{"key":"68_CR2","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1038\/nm0102-68","volume":"8","author":"M.A. Shipp","year":"2002","unstructured":"Shipp, M.A., Ross, K.N., Tamayo, P., et al.: Diffuse large b-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning. Nature Medicine\u00a08, 68\u201374 (2002)","journal-title":"Nature Medicine"},{"key":"68_CR3","first-page":"1602","volume":"63","author":"C.L. Nutt","year":"2003","unstructured":"Nutt, C.L., Mani, D.R., Betensky, R.A., et al.: Gene expression-based classification of malignant gliomas correlates better with survival than histological classification. Cancer Res\u00a063, 1602\u20131607 (2003)","journal-title":"Cancer Res"},{"key":"68_CR4","doi-asserted-by":"crossref","unstructured":"Khan, J., Wei, J.S., Ringn\u00e9r, M., et al.: Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks, vol.\u00a07(6), pp. 673\u2013679 (2001)","DOI":"10.1038\/89044"},{"key":"68_CR5","doi-asserted-by":"crossref","unstructured":"Statnikov, A., Aliferis, C.F., Tsamardinos, I., Hardin, D., Levy, S.: A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis. Bioinformatics, 33\u201346 (2004)","DOI":"10.1093\/bioinformatics\/bti033"},{"key":"68_CR6","first-page":"7388","volume":"61","author":"A.I. Su","year":"2001","unstructured":"Su, A.I., Welsh, J.B., Sapinoso, L.M., et al.: Molecular classification of human carcinomas by use of gene expression signatures. Cancer Res\u00a061, 7388\u20137393 (2001)","journal-title":"Cancer Res"},{"key":"68_CR7","doi-asserted-by":"publisher","first-page":"186","DOI":"10.1016\/S0014-5793(04)00175-9","volume":"561","author":"L.M. Fu","year":"2004","unstructured":"Fu, L.M., Fu-Liu, C.S.: Multi-class cancer subtype classification based on gene expression signatures with reliability analysis. FEBS Letters\u00a0561, 186\u2013190 (2004)","journal-title":"FEBS Letters"},{"key":"68_CR8","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1016\/j.jbi.2004.07.007","volume":"37","author":"D. Gamberger","year":"2004","unstructured":"Gamberger, D., Lavrac, N., Zelezny, F., Tolar, J.: Induction of comprehensible models for gene expression datasets by subgroup discovery methodology. Journal of Biomedical Informatics\u00a037, 269\u2013284 (2004)","journal-title":"Journal of Biomedical Informatics"},{"key":"68_CR9","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/j.compbiolchem.2004.11.001","volume":"29","author":"Y. Wang","year":"2005","unstructured":"Wang, Y., Tetko, I.V., Hall, M.A., et al.: Gene selection from microarray data for cancer classification\u2013a machine learning approach. Computational Biology and Chemistry\u00a029, 37\u201346 (2005)","journal-title":"Computational Biology and Chemistry"},{"key":"68_CR10","doi-asserted-by":"crossref","unstructured":"Kira, K., Rendell, L.: A practical approach to feature selection. In: Proceedings of the Ninth International Conference on Machine Learning, pp. 249\u2013256 (1992)","DOI":"10.1016\/B978-1-55860-247-2.50037-1"},{"key":"68_CR11","series-title":"Mathematical and statistical methods in artificial intelligence","volume-title":"Induction of decision trees using relieff","author":"I. Kononenko","year":"1995","unstructured":"Kononenko, I., Simec, E.: Induction of decision trees using relieff. Mathematical and statistical methods in artificial intelligence. Springer, Heidelberg (1995)"},{"key":"68_CR12","unstructured":"Brunsdon, C., Fotheringham, A.S., Charlton, M.: An investigation of methods for visualising highly multivariate datasets. Case Studies of Visualization in the Social Sciences, pp. 55\u201380 (1998)"},{"key":"68_CR13","doi-asserted-by":"publisher","first-page":"413","DOI":"10.1093\/bioinformatics\/bti016","volume":"21","author":"G. Leban","year":"2005","unstructured":"Leban, G., Bratko, I., Petrovic, U., Curk, T., Zupan, B.: Vizrank: finding informative data projections in functional genomics by machine learning. Bioinformatics\u00a021, 413\u2013414 (2005)","journal-title":"Bioinformatics"},{"key":"68_CR14","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1016\/S1535-6108(02)00030-2","volume":"1","author":"D. Singh","year":"2002","unstructured":"Singh, D., Febbo, P.G., Ross, K., et al.: Gene expression correlates of clinical prostate cancer behavior. Cancer Cell\u00a01, 203\u2013209 (2002)","journal-title":"Cancer Cell"},{"key":"68_CR15","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1038\/ng765","volume":"30","author":"S.A. Armstrong","year":"2001","unstructured":"Armstrong, S.A., Staunton, J.E., Silverman, L.B., Pieters, R., et al.: MLL translocations specify a distinct gene expression profile that distinguishes a unique leukemia. Nature Genetics\u00a030, 41\u201347 (2001)","journal-title":"Nature Genetics"},{"key":"68_CR16","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1023\/A:1025667309714","volume":"53","author":"M.R. Sikonja","year":"2003","unstructured":"Sikonja, M.R., Kononenko, I.: Theoretical and empirical analysis of relieff and rrelieff. Machine Learning\u00a053, 23\u201369 (2003)","journal-title":"Machine Learning"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence in Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/11527770_68","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T08:21:14Z","timestamp":1750148474000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/11527770_68"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005]]},"ISBN":["9783540278313","9783540318842"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/11527770_68","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2005]]}}}