{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,5]],"date-time":"2025-01-05T23:40:18Z","timestamp":1736120418768,"version":"3.32.0"},"publisher-location":"Berlin, Heidelberg","reference-count":20,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540304623"},{"type":"electronic","value":"9783540316527"}],"license":[{"start":{"date-parts":[[2005,1,1]],"date-time":"2005-01-01T00:00:00Z","timestamp":1104537600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2005]]},"DOI":"10.1007\/11589990_30","type":"book-chapter","created":{"date-parts":[[2005,11,26]],"date-time":"2005-11-26T06:28:03Z","timestamp":1132986483000},"page":"274-283","source":"Crossref","is-referenced-by-count":5,"title":["Collateral Missing Value Estimation: Robust Missing Value Estimation for Consequent Microarray Data Processing"],"prefix":"10.1007","author":[{"given":"Muhammad Shoaib B.","family":"Sehgal","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Iqbal","family":"Gondal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Laurence","family":"Dooley","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"30_CR1","doi-asserted-by":"crossref","unstructured":"Sehgal, M.S.B., Gondal, I., Dooley, L.: Statistical Neural Networks and Support Vector Machine for the Classification of Genetic Mutations in Ovarian Cancer. In: IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2004), USA, pp. 140\u2013146 (2004)","DOI":"10.1109\/CIBCB.2004.1393946"},{"key":"30_CR2","doi-asserted-by":"crossref","unstructured":"Bhattacharjee, A., Richards, W.G., Staunton, J., Li, C., Monti, S., Vasa, P., Ladd, C., Beheshti, J., Bueno, R., Gillette, M., Loda, M., Weber, G., Mark, E.F., Lander, E.S., Wong, W., Johnson, B.E., Golub, T.R., Sugarbaker, D.J., Meyerson, M.: Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses. Presented at Proc. Natl. Acad. Sci, USA (2001)","DOI":"10.1073\/pnas.191502998"},{"key":"30_CR3","doi-asserted-by":"publisher","first-page":"2088","DOI":"10.1093\/bioinformatics\/btg287","volume":"19","author":"S. Oba","year":"2003","unstructured":"Oba, S., Sato, M.A., Takemasa, I., Monden, M., Matsubara, K., Ishii, S.: A Bayesian Missing Value Estimation Method for Gene Expression Profile Data. Bioinformatics\u00a019, 2088\u20132096 (2003)","journal-title":"Bioinformatics"},{"key":"30_CR4","doi-asserted-by":"crossref","unstructured":"Dudoit, S., Fridlyand, J., Speed, T.P.: Comparison of discrimination methods for the classification of tumors using gene expression data. Journal of the American Statistical Association, 77\u201378 (2002)","DOI":"10.1198\/016214502753479248"},{"key":"30_CR5","doi-asserted-by":"publisher","first-page":"274","DOI":"10.1109\/ICHIS.2004.67","volume":"00","author":"M.S.B. Sehgal","year":"2004","unstructured":"Sehgal, M.S.B., Gondal, I., Dooley, L.: K-Ranked Covariance Based Missing Values Estimation for Microarray Data Classification. IEEE Hybrid Intelligent Systems (HIS 2004)\u00a000, 274\u2013279 (2004)","journal-title":"IEEE Hybrid Intelligent Systems (HIS 2004)"},{"key":"30_CR6","doi-asserted-by":"crossref","unstructured":"Acuna, E., Rodriguez, C.: The treatment of missing values and its effect in the classifier accuracy. In: Classification, Clustering and Data Mining Applications, pp. 639\u2013648 (2004)","DOI":"10.1007\/978-3-642-17103-1_60"},{"key":"30_CR7","doi-asserted-by":"publisher","first-page":"520","DOI":"10.1093\/bioinformatics\/17.6.520","volume":"17","author":"O. Troyanskaya","year":"2001","unstructured":"Troyanskaya, O., Cantor, M., Sherlock, G., Brown, P., Hastie, T., Tibshirani, R., Botstein, D., Altman, R.: Missing Value Estimation Methods for DNA Microarrays. Bioinformatics\u00a017, 520\u2013525 (2001)","journal-title":"Bioinformatics"},{"key":"30_CR8","unstructured":"Sehgal, M.S.B., Gondal, I., Dooley, L.: A Collateral Missing Value Estimation Algorithm for DNA Microarrays. In: IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2005, USA, pp. 377\u2013380 (2005)"},{"key":"30_CR9","unstructured":"Sehgal, M.S.B., Gondal, I., Dooley, L.: Support Vector Machine and Generalized Regression Neural Network Based Classification Fusion Models for Cancer Diagnosis. In: IEEE Hybrid Intelligent Systems, HIS 2004, Japan, pp. 49\u201354 (2004)"},{"issue":"5","key":"30_CR10","doi-asserted-by":"publisher","first-page":"563","DOI":"10.1093\/bioinformatics\/btg062","volume":"19","author":"A. Antoniadis","year":"2003","unstructured":"Antoniadis, A., Lambert-Lacroix, S., Leblanc, F.: Effective dimension reduction methods for tumor classification using gene expression data. Bioinformatics\u00a019(5), 563\u2013570 (2003)","journal-title":"Bioinformatics"},{"issue":"5439","key":"30_CR11","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., Gaasen-beek, M., Mesirov, J.P., Coller, H., Loh, M.L., Down-ing, J.R., Caligiuri, M.A., Bloomfield, C.D., Lan-der, E.S.: Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science\u00a0286(5439), 531\u2013537 (1999)","journal-title":"Science"},{"key":"30_CR12","doi-asserted-by":"publisher","first-page":"2562","DOI":"10.1093\/bioinformatics\/bth285","volume":"20","author":"P. Bro\u00ebt","year":"2004","unstructured":"Bro\u00ebt, P., Lewin, A., Richardson, S., Dalmasso, C., Magdelenat, H.: A mixture model-based strategy for selecting sets of genes in multiclass response microarray experiments. Bioinformatics\u00a020, 2562\u20132571 (2004)","journal-title":"Bioinformatics"},{"key":"30_CR13","doi-asserted-by":"crossref","unstructured":"Liu, X., Krishnan, A., Mondry, A.: An Entropy-based gene selection method for cancer classification using microarray data. BMC Bioinformatics\u00a06(76) (2005)","DOI":"10.1186\/1471-2105-6-76"},{"issue":"10","key":"30_CR14","doi-asserted-by":"publisher","first-page":"2417","DOI":"10.1093\/bioinformatics\/bti345","volume":"21","author":"M.S.B. Sehgal","year":"2005","unstructured":"Sehgal, M.S.B., Gondal, I., Dooley, L.: Collateral Missing Value Imputation: a new robust missing value estimation algorithm for microarray data. Bioinformatics\u00a021(10), 2417\u20132423 (2005)","journal-title":"Bioinformatics"},{"issue":"8","key":"30_CR15","doi-asserted-by":"publisher","first-page":"539","DOI":"10.1056\/NEJM200102223440801","volume":"344","author":"I. Hedenfalk","year":"2001","unstructured":"Hedenfalk, I., Duggan, D., Chen, Y., Radmacher, M., Bittner, M., Simon, R., Meltzer, P., Gusterson, B., Esteller, M., Kallioniemi, O.P., Wilfond, B., Borg, A., Trent, J.: Gene-expression profiles in hereditary breast cancer. N. Engl. J. Med.\u00a0344(8), 22, 539\u2013548 (2001)","journal-title":"N. Engl. J. Med."},{"key":"30_CR16","doi-asserted-by":"publisher","first-page":"1104","DOI":"10.1093\/bioinformatics\/bti114","volume":"21","author":"G. Fort","year":"2005","unstructured":"Fort, G., Lambert-Lacroix, S.: Classification using partial least squares with penalized logistic regression. Bioinformatics\u00a021, 1104\u20131111 (2005)","journal-title":"Bioinformatics"},{"key":"30_CR17","volume-title":"Fitting models to biological Data using linear and nonlinear regression","author":"M. Harvey","year":"2004","unstructured":"Harvey, M., Arthur, C.: Fitting models to biological Data using linear and nonlinear regression. Oxford University Press, Oxford (2004)"},{"issue":"10","key":"30_CR18","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(10), 2394\u20132402 (2005)","journal-title":"Bioinformatics"},{"key":"30_CR19","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1142\/S179300570500007X","volume":"1","author":"X. Zhou","year":"2005","unstructured":"Zhou, X., Wang, X., Dougherty, E.R.: Gene Selection Using Logistic Regressions Based on AIC, BIC and MDL Criteria. New Mathematics and Natural Computation\u00a01, 129\u2013145 (2005)","journal-title":"New Mathematics and Natural Computation"},{"key":"30_CR20","doi-asserted-by":"crossref","unstructured":"Amir, A.J., Yee, C.J., Sotiriou, C., Brantley, K.R., Boyd, J., Liu, E.T.: Gene Expression Profiles of Brca1-Linked, Brca2-Linked, and Sporadic Ovarian Cancers. Journal of the National Cancer Institute\u00a094(13) (2002)","DOI":"10.1093\/jnci\/94.13.990"}],"container-title":["Lecture Notes in Computer Science","AI 2005: Advances in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/11589990_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,5]],"date-time":"2025-01-05T23:04:30Z","timestamp":1736118270000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/11589990_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005]]},"ISBN":["9783540304623","9783540316527"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/11589990_30","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2005]]}}}