{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,21]],"date-time":"2025-09-21T17:24:45Z","timestamp":1758475485468},"publisher-location":"Berlin, Heidelberg","reference-count":12,"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_98","type":"book-chapter","created":{"date-parts":[[2006,7,2]],"date-time":"2006-07-02T06:01:11Z","timestamp":1151820071000},"page":"931-940","source":"Crossref","is-referenced-by-count":3,"title":["Using Most Similarity Tree Based Clustering to Select the Top Most Discriminating Genes for Cancer Detection"],"prefix":"10.1007","author":[{"given":"Xinguo","family":"Lu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yaping","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaolin","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lijun","family":"Cai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haijun","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gustaph","family":"Sanga","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"98_CR1","volume-title":"Evolving Connectionist Systems, Methods and Applications in Bioinformatics, Brain Study and Intelligent Machines","author":"N. Kasabov","year":"2002","unstructured":"Kasabov, N.: Evolving Connectionist Systems, Methods and Applications in Bioinformatics, Brain Study and Intelligent Machines. Springer, Heidelberg (2002)"},{"key":"98_CR2","doi-asserted-by":"publisher","first-page":"530","DOI":"10.1038\/415530a","volume":"415","author":"L.J.V.T. Veer","year":"2002","unstructured":"Veer, L.J.V.T., Dai, H., Vijver, M.J.V.D., He, Y.D., et al.: Gene expression profiling predicts clinical outcome of breast cancer. Nature\u00a0415, 530\u2013536 (2002)","journal-title":"Nature"},{"key":"98_CR3","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., Weng, A.P., Kutok, J.L., Aguiar, R.C.T., Gaasenbeek, M., 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":"98_CR4","unstructured":"Cho, S.B., Won, H.H.: Machine Learning in DNA Microarray Analysis for Cancer Classification. In: Proc. of the First Asia-Pacific Bioinformatics Conference (APBC 2003), pp. 189\u2013198 (2003)"},{"key":"98_CR5","unstructured":"Goh, L., Song, Q., Kasabov, N.: A Novel Feature Selection Method to Improve Classification of Gene Expression Data. In: Proc. of Bioinformatics 2004 Second Asia-Pacific Bioinformatics Conference (APBC 2004), pp. 161\u2013166 (2004)"},{"key":"98_CR6","unstructured":"Hu, X., Yoo, I.: Cluster Ensemble and its application in gene expression analysis. In: The 2nd Asia-Pacific Bioinformatics Conference(APBC2004), Conferences in Reseach and Practice in Information Technology, Dunedin, New Zealand, vol.\u00a029 (2004)"},{"key":"98_CR7","doi-asserted-by":"publisher","first-page":"405","DOI":"10.1093\/bioinformatics\/17.5.405","volume":"17","author":"A.V. Lukashin","year":"2001","unstructured":"Lukashin, A.V., Fuchs, R.: Analysis of temporal gene expression profiles: clustering by simulated annealing and determining the optimal number of clusters. Bioinformatics\u00a017, 405\u2013414 (2001)","journal-title":"Bioinformatics"},{"key":"98_CR8","volume-title":"Microarray data analysis II","author":"A.. Mateos","year":"2002","unstructured":"Mateos, A., Herrero, J., Tamames, J., Dopazo, J.: Supervised neural networks for clustering conditions in DNA array data after reducing noise by clustering gene expression profiles. In: Microarray data analysis II, Kluwer Academic, Dordrecht (2002)"},{"key":"98_CR9","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1109\/NNSP.2002.1030019","volume-title":"Neural Networks for Signal Processing XII","author":"L. Conde","year":"2002","unstructured":"Conde, L., Mateos, A., Herrero, J., Dopazo, J.: Unsupervised Reduction of the Dimensionality Followed by Supervised Learning with a Perceptron Improves the Classification of Conditions in DNA Microarray Gene Expression Data. In: Boulard, Adali, Bengio, Larsen, Douglas (eds.) Neural Networks for Signal Processing XII, pp. 77\u201386. IEEE Press, New York (2002)"},{"key":"98_CR10","unstructured":"Lu, X.G., Lin, Y.P., Li, X.L., Yi, Y.Q., Cai, L.J., Wang, H.J.: Gene Cluster Algorithm Based on Most Similarity Tree. In: Proc. of the 8th International Conference on High Performance Computing in Asia Pacific Region (HPC Asia 2005), pp. 652\u2013656 (2005)"},{"key":"98_CR11","unstructured":"Hastie, T., Tibshirani, T., Walther, G.: Estimating the number of clusters in a dataset via the gap statistic. Tech. report. March 2000. Published in JRSSB (2000)"},{"key":"98_CR12","doi-asserted-by":"publisher","first-page":"503","DOI":"10.1038\/35000501","volume":"403","author":"A.A. Alizadeh","year":"2000","unstructured":"Alizadeh, A.A., Eisen, M.B., Davis, R.E., Ma, C., et al.: Distinct types of disuse lare B-cell lymphoma identified by gene expression profiling. Nature\u00a0403, 503\u2013511 (2000)","journal-title":"Nature"}],"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_98.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,17]],"date-time":"2020-11-17T20:09:24Z","timestamp":1605643764000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/11785231_98"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2006]]},"ISBN":["9783540357483","9783540357506"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/11785231_98","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2006]]}}}