{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,5]],"date-time":"2022-04-05T07:44:59Z","timestamp":1649144699060},"reference-count":14,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. & Syst."],"published-print":{"date-parts":[[2009]]},"DOI":"10.1587\/transinf.e92.d.346","type":"journal-article","created":{"date-parts":[[2009,3,19]],"date-time":"2009-03-19T06:02:36Z","timestamp":1237442556000},"page":"346-348","source":"Crossref","is-referenced-by-count":0,"title":["A Filter Method for Feature Selection for SELDI-TOF Mass Spectrum"],"prefix":"10.1587","volume":"E92-D","author":[{"given":"Trung-Nghia","family":"VU","sequence":"first","affiliation":[{"name":"Department of Computer Engineering, Korea Aerospace University"}]},{"given":"Syng-Yup","family":"OHN","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, Korea Aerospace University"}]}],"member":"532","reference":[{"key":"1","doi-asserted-by":"crossref","unstructured":"[1] J.D. Wulfkuhle, L.A. Liotta, and E.F. Petricoin, “Proteomic applications for the early detection of cancer, ” Nat. Rev. Cancer, vol.3, pp.267-275, 2003.","DOI":"10.1038\/nrc1043"},{"key":"2","unstructured":"[2] J. Li, Z. Zhang, J. Rosenzweig, Y.Y. Wang, and D.W. Chan, “Proteomics and bioinformatics approaches for identification of serum biomarkers to detect breast cancer, ” Clin. Chem., vol.48, pp.1296-1304, 2002."},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(02)07746-2"},{"key":"4","doi-asserted-by":"crossref","unstructured":"[4] R.H. Lilien, H. Farid, and B.R. Donald, “Probabilistic disease classification of expression-dependent proteomic data from mass spectrometry of human serum, ” J. Comput. Biol., vol.10, pp.925-946, 2003.","DOI":"10.1089\/106652703322756159"},{"key":"5","unstructured":"[5] B.L. Adam, Y. Qu, J.W. Davis, M.D. Ward, M.A. Clements, L.H. Cazares, O.J. Semmes, P.F. Schellhammer, Y. Yasui, Z. Feng, and G.L. Wright, “Serum protein fingerprinting coupled with a pattern-matching algorithm distinguishes prostate cancer from benign prostate hyperplasia and healthy men, ” Cancer Res., vol.62, pp.3609-3614, 2002."},{"key":"6","unstructured":"[6] Y. Qu, B.L. Adam, Y. Yasui, M.D. Ward, L.H. Cazares, P.F. Schellhammer, Z. Feng, O.J. Semmes, and G.L. Wright, “Boosted decision tree analysis of surface-enhanced laser desorption\/ionization mass spectral serum profiles discriminates prostate cancer from noncancer patients, ” Clin. Chem., vol.48, pp.1835-1843, 2002."},{"key":"7","doi-asserted-by":"crossref","unstructured":"[7] I. Levner, “Feature selection and nearest centroid classification for protein mass spectrometry, ” BMC Bioinformatics, 6: 68, 2005.","DOI":"10.1186\/1471-2105-6-68"},{"key":"8","unstructured":"[8] L.E. Peterson, R.C. Hoogeveen, H.J. Pownall, and J.D. Morrisett, “Classification analysis of surface-enhanced laser desorption\/ionization mass spectral serum profiles for prostate cancer, ” IJCNN'06-International Joint Conf. on Neural Networks, pp.3828-3835, July 2006."},{"key":"9","unstructured":"[9] B. Wu, T. Abbott, D. Fishman, W. McMurray, G. Mor, K. Stone, D. Ward, K. Williams, and H. Zhao, “Comparison of statistical methods for classification of ovarian cancer using mass spectrometry data, ” Bioinformatics, vol.19, pp.1636-1643, 2003."},{"key":"10","doi-asserted-by":"crossref","unstructured":"[10] C. Plant, M. Osl, B. Tilg, and C. Baumgartner, “Feature selection on high throughput SELDI-TOF mass-spectrometry data for identifying biomarker candidates in ovarian and prostate cancer, ” Proc. Sixth IEEE International Conf. on Data Mining-Workshops, pp.174-179, 2006.","DOI":"10.1109\/ICDMW.2006.80"},{"key":"11","doi-asserted-by":"crossref","unstructured":"[11] E. Marchiori, C.R. Jimenez, M. West-Nielsen, and N.H.H. Heegaard, “Robust SVM-based biomarker selection with noisy mass spectrometric proteomic data, ” EvoWorkshops, pp.79-90, 2006.","DOI":"10.1007\/11732242_8"},{"key":"12","unstructured":"[12] http:\/\/home.ccr.cancer.gov\/ncifdaproteomics\/ppatterns.asp"},{"key":"13","unstructured":"[13] N. Cristianini and J. Shawe-Taylor, An Introduction to Support Vector Machines, Cambridge University Press, 2000."},{"key":"14","unstructured":"[14] W. Duch, “Filter methods, ” in Feature Extraction: Foundations and Applications, ed. I. Guyon, S. Gunn, M. Nikravesh and L. Zadeh, pp.89-118, Studies in Fuzziness and Soft Computing, Physica-Verlag, Springer, 2006."}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.jstage.jst.go.jp\/article\/transinf\/E92.D\/2\/E92.D_2_346\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,26]],"date-time":"2021-04-26T06:17:34Z","timestamp":1619417854000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.jstage.jst.go.jp\/article\/transinf\/E92.D\/2\/E92.D_2_346\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009]]},"references-count":14,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2009]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.e92.d.346","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"value":"0916-8532","type":"print"},{"value":"1745-1361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2009]]}}}