{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,2]],"date-time":"2025-02-02T05:27:33Z","timestamp":1738474053623,"version":"3.35.0"},"publisher-location":"Berlin, Heidelberg","reference-count":26,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540884347"},{"type":"electronic","value":"9783540884361"}],"license":[{"start":{"date-parts":[[2008,1,1]],"date-time":"2008-01-01T00:00:00Z","timestamp":1199145600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2008]]},"DOI":"10.1007\/978-3-540-88436-1_9","type":"book-chapter","created":{"date-parts":[[2008,10,6]],"date-time":"2008-10-06T12:56:07Z","timestamp":1223297767000},"page":"98-109","source":"Crossref","is-referenced-by-count":3,"title":["A Clustering Based Hybrid System for Mass Spectrometry Data Analysis"],"prefix":"10.1007","author":[{"given":"Pengyi","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zili","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"issue":"9","key":"9_CR1","doi-asserted-by":"publisher","first-page":"1764","DOI":"10.1093\/bioinformatics\/bti254","volume":"21","author":"J.S. Morris","year":"2005","unstructured":"Morris, J.S., Coombes, K.R., Koomen, J., Baggerly, K.A., Kobayashi, R.: Feature extraction and quantification for mass spectrometry in biomedical applications using the mean spectrum. Bioinformatics\u00a021(9), 1764\u20131775 (2005)","journal-title":"Bioinformatics"},{"key":"9_CR2","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1016\/j.copbio.2004.01.005","volume":"15","author":"E.F. Petricoin","year":"2004","unstructured":"Petricoin, E.F., Liotta, L.A.: SELDI-TOF-based serum proteomic pattern diagnostics for early detection of cencer. Curr. Opin. Biotechnol.\u00a015, 24\u201330 (2004)","journal-title":"Curr. Opin. Biotechnol."},{"issue":"20","key":"9_CR3","doi-asserted-by":"publisher","first-page":"1576","DOI":"10.1093\/jnci\/94.20.1576","volume":"94","author":"E.F. Petricoin","year":"2002","unstructured":"Petricoin, E.F., Ornstein, D.K., Paweletz, C.P., Ardekani, A.M., Hackett, P.S., Hitt, B.A., Velassco, A., Trucco, C., Wiegand, L., Wood, K., Simone, C.B., Levine, P.J., Linehan, W.M., Emmert-Buck, M.R., Steinberg, S.M., Kohn, E.C., Liotta, L.A.: Serum Proteomic Patterns for Detection of Prostate Cancer. Journal of the National Cancer Institute\u00a094(20), 1576\u20131578 (2002)","journal-title":"Journal of the National Cancer Institute"},{"key":"9_CR4","doi-asserted-by":"publisher","first-page":"572","DOI":"10.1016\/S0140-6736(02)07746-2","volume":"359","author":"E.F. Petricoin","year":"2002","unstructured":"Petricoin, E.F., Ardekani, A.M., Hitt, B.A., Levine, P.J., Fusaro, V.A., SteinBerg, S.M., Mills, G.B., Simone, C., Fishman, D.A., Kohn, E.C., Liotta, L.A.: Use of proteomic patterns in serum to identify ovarian cancer. The Lancet\u00a0359, 572\u2013577 (2002)","journal-title":"The Lancet"},{"issue":"10","key":"9_CR5","doi-asserted-by":"publisher","first-page":"1638","DOI":"10.1093\/bioinformatics\/bth098","volume":"20","author":"L. Li","year":"2004","unstructured":"Li, L., Umbach, D.M., Terry, P., Taylor, J.A.: Application of the GA\/KNN method to SELDI proteomics data. Bioinformatics\u00a020(10), 1638\u20131640 (2004)","journal-title":"Bioinformatics"},{"issue":"10","key":"9_CR6","doi-asserted-by":"publisher","first-page":"2200","DOI":"10.1093\/bioinformatics\/bti370","volume":"21","author":"J.S. Yu","year":"2005","unstructured":"Yu, J.S., Ongarello, S., Fiedler, R., Chen, X.W., Toffolo, G., Cobelli, C., Trajanoski, Z.: Ovarian cancer identification based on dimensionality reduction for high-throughput mass spectrometry data. Bioinformatics\u00a021(10), 2200\u20132209 (2005)","journal-title":"Bioinformatics"},{"key":"9_CR7","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1038\/nature01515","volume":"422","author":"M.S. Boguski","year":"2003","unstructured":"Boguski, M.S., McIntosh, M.W.: Biomedical informatics for proteomics. Nature\u00a0422, 233\u2013236 (2003)","journal-title":"Nature"},{"issue":"12","key":"9_CR8","doi-asserted-by":"publisher","first-page":"1484","DOI":"10.1093\/bioinformatics\/btg182","volume":"19","author":"R.L. Somorjai","year":"2003","unstructured":"Somorjai, R.L., Dolenko, B., Baumgartner, R.: Class prediction and discovery using gene microarray and protenomics mass spectroscopy data: curses, caveats, cautions. Bioinformatics\u00a019(12), 1484\u20131491 (2003)","journal-title":"Bioinformatics"},{"issue":"2","key":"9_CR9","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1142\/S0219720005001004","volume":"3","author":"C. Ding","year":"2005","unstructured":"Ding, C., Peng, H.: Minimum Redundancy Feature Selection From Microarray Gene Expression Data. Journal of Bioinformatics and Computational Biology\u00a03(2), 185\u2013205 (2005)","journal-title":"Journal of Bioinformatics and Computational Biology"},{"key":"9_CR10","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., Tamayo, D.K., Tamayo, P., Huard, C., Gaasenbeek, M., Mesirov, J.P., Coller, H., Loh, M.L., Downing, J.R., Caligiuri, M.A., Boomfield, C.D., Lander, E.S.: Molecular Classification of Cancer: Class Discovery and Class Prediction by Gene Expression Monitoring. Science\u00a0286, 531\u2013537 (1999)","journal-title":"Science"},{"key":"9_CR11","first-page":"51","volume":"13","author":"H. Liu","year":"2002","unstructured":"Liu, H., Li, J., Wang, L.: A Comparative Study on Feature Selection and Classification Methods Using Gene Expression Profiles and Proteomic Patterns. Genome Informatics\u00a013, 51\u201360 (2002)","journal-title":"Genome Informatics"},{"issue":"12","key":"9_CR12","doi-asserted-by":"publisher","first-page":"1578","DOI":"10.1093\/bioinformatics\/btg179","volume":"19","author":"Y. Su","year":"2003","unstructured":"Su, Y., Murali, T., Pavlovic, V., Schaffer, M., Kasif, S.: RankGene: Identification of Diagnostic Genes Based on Expression Data. Bioinformatics\u00a019(12), 1578\u20131579 (2003)","journal-title":"Bioinformatics"},{"issue":"1-2","key":"9_CR13","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1016\/S0004-3702(97)00043-X","volume":"97","author":"R. Kohavi","year":"1997","unstructured":"Kohavi, R., John, G.: Wrapper for feature subset selection. Artificial Intelligence\u00a097(1-2), 273\u2013324 (1997)","journal-title":"Artificial Intelligence"},{"key":"9_CR14","doi-asserted-by":"crossref","unstructured":"Jaeger, J., Sengupta, R., Ruzzo, W.L.: Improved Gene Selection for Clssification of Microarrays. Pac. Symp. Biocomput., 53\u201364 (2003)","DOI":"10.1142\/9789812776303_0006"},{"key":"9_CR15","doi-asserted-by":"publisher","first-page":"146","DOI":"10.1186\/1471-2105-6-148","volume":"6","author":"T. Jirapech-Umpai","year":"2005","unstructured":"Jirapech-Umpai, T., Aitken, S.: Feature Selection and Classification for Microarray Data Analysis: Evolutionary Methods for Identifying Predictive Genes. BMC Bioinformatics\u00a06, 146 (2005)","journal-title":"BMC Bioinformatics"},{"key":"9_CR16","series-title":"Lecture Notes in Artificial Intelligence","first-page":"811","volume-title":"AI 2007: Advances in Artificial Intelligence","author":"P.Y. Yang","year":"2007","unstructured":"Yang, P.Y., Zhang, Z.L.: Hybrid Methods to Select Informative Gene Sets in Microarray Data Classification. In: Orgun, M.A., Thornton, J. (eds.) AI 2007. LNCS (LNAI), vol.\u00a04830, pp. 811\u2013815. Springer, Heidelberg (2007)"},{"key":"9_CR17","first-page":"214","volume-title":"Proceedings of BMEI 2008","author":"P.Y. Yang","year":"2008","unstructured":"Yang, P.Y., Zhang, Z.L.: A Hybrid Approach to Selecting Susceptible Single Nucleotide Polymorphisms for Complex Disease Analysis. In: Proceedings of BMEI 2008, pp. 214\u2013218. IEEE, Los Alamitos (2008)"},{"key":"9_CR18","volume-title":"Machine Learning: An Artificial Intelligence Approach","author":"J.R. Quinlan","year":"1983","unstructured":"Quinlan, J.R.: Learning efficient classification procedures and their applicaiton to chess and games. In: Machine Learning: An Artificial Intelligence Approach. Morgan Kaufmann, San Mateo (1983)"},{"key":"9_CR19","volume-title":"C4.5: Programs for Machine Learning","author":"J.R. Quinlan","year":"1993","unstructured":"Quinlan, J.R.: C4.5: Programs for Machine Learning. Morgan Kaufmann, San Mateo (1993)"},{"issue":"1-2","key":"9_CR20","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1016\/S0004-3702(97)00063-5","volume":"97","author":"A.L. Blum","year":"1997","unstructured":"Blum, A.L., Langley, P.: Selection of relevent Features and Examples in Machine Learning. Artificial Intelligence\u00a097(1-2), 245\u2013271 (1997)","journal-title":"Artificial Intelligence"},{"key":"9_CR21","doi-asserted-by":"publisher","first-page":"3138","DOI":"10.1093\/bioinformatics\/bti494","volume":"21","author":"P. Geurts","year":"2005","unstructured":"Geurts, P., Fillet, M., de Seny, D., Meuwis, M.A., Malaise, M., Merville, M.P., Wehenkel, L.: Proteomic mass spectra classifcation using decision tree based ensemble methods. Bioinformatics\u00a021, 3138\u20133145 (2005)","journal-title":"Bioinformatics"},{"issue":"8","key":"9_CR22","doi-asserted-by":"publisher","first-page":"1530","DOI":"10.1093\/bioinformatics\/bti192","volume":"21","author":"Y. Wang","year":"2005","unstructured":"Wang, Y., Makedon, F., Ford, J., Pearlman, J.: HykGene: A Hybrid Approach for Selecting Marker Genes for Phenotype Classification using Microarray Gene Expression Data. Bioinformatics\u00a021(8), 1530\u20131537 (2005)","journal-title":"Bioinformatics"},{"key":"9_CR23","unstructured":"Zhang, Z.L., Yang, P.Y.: An Ensemble of Classifier with Genetic Algorithm Based Feature Selection (accepted by IEEE Intelligent Informatics Bulletin)"},{"key":"9_CR24","doi-asserted-by":"publisher","first-page":"206","DOI":"10.1186\/1471-2105-8-206","volume":"8","author":"Z. Cai","year":"2007","unstructured":"Cai, Z., Goebel, R., Salavatipour, M.R., Lin, G.: Selecting Dissimilar Genes for Multi-Class Classification, an Application in Cancer Subtyping. BMC Bioinformatics\u00a08, 206 (2007)","journal-title":"BMC Bioinformatics"},{"key":"9_CR25","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1145\/980972.980977","volume":"5","author":"B. Hanczar","year":"2003","unstructured":"Hanczar, B., Courtine, M., Benis, A., Hennegar, C., Clement, K., Zucker, J.-D.: Improving classification of microarray data using prototype-based feature selection. SIGKDD Explorations\u00a05, 23\u201330 (2003)","journal-title":"SIGKDD Explorations"},{"issue":"19","key":"9_CR26","doi-asserted-by":"publisher","first-page":"2507","DOI":"10.1093\/bioinformatics\/btm344","volume":"23","author":"Y. Saeys","year":"2007","unstructured":"Saeys, Y., Inza, I., Larra\u00f1aga, P.: A review of feature selection techniques in bioinformatics. Bioinformatics\u00a023(19), 2507\u20132517 (2007)","journal-title":"Bioinformatics"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition in Bioinformatics"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-88436-1_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T11:20:57Z","timestamp":1738408857000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-88436-1_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008]]},"ISBN":["9783540884347","9783540884361"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-88436-1_9","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2008]]}}}