{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,2]],"date-time":"2025-12-02T15:17:19Z","timestamp":1764688639716},"publisher-location":"Berlin, Heidelberg","reference-count":25,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540720300"},{"type":"electronic","value":"9783540720317"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.1007\/978-3-540-72031-7_15","type":"book-chapter","created":{"date-parts":[[2007,8,5]],"date-time":"2007-08-05T14:16:24Z","timestamp":1186323384000},"page":"158-169","source":"Crossref","is-referenced-by-count":9,"title":["Discovering Relations Among GO-Annotated Clusters by Graph Kernel Methods"],"prefix":"10.1007","author":[{"given":"Italo","family":"Zoppis","sequence":"first","affiliation":[]},{"given":"Daniele","family":"Merico","sequence":"additional","affiliation":[]},{"given":"Marco","family":"Antoniotti","sequence":"additional","affiliation":[]},{"given":"Bud","family":"Mishra","sequence":"additional","affiliation":[]},{"given":"Giancarlo","family":"Mauri","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"doi-asserted-by":"crossref","unstructured":"Gene Ontology Consortium: The Gene Ontology (GO) project in 2006. Nucleic Acid Research\u00a034(Database issue), D322\u2013D326 (2006)","key":"15_CR1","DOI":"10.1093\/nar\/gkj021"},{"key":"15_CR2","doi-asserted-by":"crossref","first-page":"3273","DOI":"10.1091\/mbc.9.12.3273","volume":"9","author":"P.T. Spellman","year":"1998","unstructured":"Spellman, P.T., et al.: Comprehensive Identification of Cell Cycle-Regulated Genes of the Yeast Saccharomyces Cerevisiae by Microarray Hybridization. Molecular Biology of the Cell\u00a09, 3273\u20133297 (1998)","journal-title":"Molecular Biology of the Cell"},{"issue":"4-6","key":"15_CR3","doi-asserted-by":"publisher","first-page":"223","DOI":"10.3727\/000000005783991990","volume":"12","author":"X. Li","year":"2005","unstructured":"Li, X., Quigg, R.J.: An Integrated Strategy for the Optimization of Microarray Data Interpretation. Gene Expression\u00a012(4-6), 223\u2013230 (2005)","journal-title":"Gene Expression"},{"doi-asserted-by":"crossref","unstructured":"Khatri, P., Draghici, S.: Ontological analysis of gene expression data: current tools, limitations and open problems. Bioinformatics 21 (2005)","key":"15_CR4","DOI":"10.1093\/bioinformatics\/bti565"},{"doi-asserted-by":"crossref","unstructured":"Doherty, J.M., Carmichael, L.K., Mills, J.C.: GOurmet: a tool for Quantitative Comparison and Visualization of Gene Expression Profiles Based on Gene Ontology (GO) Distributions. BMC Bioinformatics\u00a07(151) (2006)","key":"15_CR5","DOI":"10.1186\/1471-2105-7-151"},{"issue":"16","key":"15_CR6","doi-asserted-by":"publisher","first-page":"2493","DOI":"10.1093\/bioinformatics\/bth283","volume":"20","author":"Z. Bar-Joseph","year":"2004","unstructured":"Bar-Joseph, Z.: Analyzing time series gene expression data. Bioinformatics\u00a020(16), 2493\u20132503 (2004)","journal-title":"Bioinformatics"},{"doi-asserted-by":"crossref","unstructured":"Ernst, J., Bar-Joseph, Z.: STEM: a tool for the analysis of short time series expression data. BMC Bioinformatics\u00a07(191) (2006)","key":"15_CR7","DOI":"10.1186\/1471-2105-7-191"},{"unstructured":"Antoniotti, M., et al.: Remembrance of Experiments Past: Analyzing Time Course Datasets to Discover Complex Temporal Invariants. Technical Report CIMS TR2005-858, Bioinformatics Group, Courant Institute of Mathematical Sciences, New York University (February 2005)","key":"15_CR8"},{"unstructured":"Ramakrishnan, N., Antoniotti, M., Mishra, B.: Reconstructing Formal Temporal Models of Cellular Events using the GO Process Ontology. In: Bio-Ontologies SIG Meeting, ISMB, Detroit MI, U.S.A. (2005)","key":"15_CR9"},{"unstructured":"Kleinberg, S., et al.: Remembrance of Experiments Past: A Redescription Based Tool for Discovery in Complex Systems. In: Proceedings of the International Conference on Complex Systems, Boston, MA, U.S.A. (June 2006)","key":"15_CR10"},{"unstructured":"Antoniotti, M.: GOALIE site (2004-2007), http:\/\/bioinformatics.nyu.edu\/Projects\/GOALIE\/","key":"15_CR11"},{"doi-asserted-by":"crossref","unstructured":"Ben-Hur, A., Noble, W.S.: Kernel methods for predicting protein-protein interactions. Bioinformatics 21 (2005)","key":"15_CR12","DOI":"10.1093\/bioinformatics\/bti1016"},{"key":"15_CR13","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/4057.001.0001","volume-title":"Kernel Methods in Computational Biology","author":"B. Sch\u00f6lkopf","year":"2004","unstructured":"Sch\u00f6lkopf, B., Tsuda, K., Vert, J.P.: Kernel Methods in Computational Biology. MIT Press, Cambridge (2004)"},{"key":"15_CR14","series-title":"Lecture Notes in Artificial Intelligence","first-page":"41","volume-title":"Learning Theory and Kernel Machines","author":"P. Haffner","year":"2003","unstructured":"Haffner, P., Mohri, M., Cortes, C.: Positive Definite Rational Kernels. In: Sch\u00f6lkopf, B., Warmuth, M.K. (eds.) COLT\/Kernel 2003. LNCS (LNAI), vol.\u00a02777, pp. 41\u201356. Springer, Heidelberg (2003)"},{"key":"15_CR15","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1007\/978-3-540-45167-9_11","volume-title":"Learning Theory and Kernel Machines","author":"P. G\u00e4rtner","year":"2003","unstructured":"G\u00e4rtner, P., Flach, P., Wrobel, S.: On Graph Kernels: Hardness Results and Efficient Alternatives. In: Sch\u00f6lkopf, B., Warmuth, M.K. (eds.) COLT\/Kernel 2003. LNCS (LNAI), vol.\u00a02777, pp. 129\u2013143. Springer, Heidelberg (2003)"},{"unstructured":"Kashima, H., Tsuda, K., Inokuchi, A.: Marginalized Kernels between Labelled Graphs. In: Proceedings of ICML (2003)","key":"15_CR16"},{"unstructured":"Kondor, R.S., Lafferty, J.: Diffusion Kernels on Graphs and Other Discrete Structures. In: Proceedings of ICML (2002)","key":"15_CR17"},{"doi-asserted-by":"crossref","unstructured":"Borgwardt, K.M., Cheng, S.O., Sch\u00f6nauer, S.: Protein Function Prediction via Graph Kernel. Bioinformatics 21 (2005)","key":"15_CR18","DOI":"10.1093\/bioinformatics\/bti1007"},{"doi-asserted-by":"crossref","unstructured":"Joslyn, C.A., et al.: The Gene Ontology Categorizer. Bioinformatics 20 (2004)","key":"15_CR19","DOI":"10.1093\/bioinformatics\/bth921"},{"doi-asserted-by":"crossref","unstructured":"Lord, P.W., et al.: Investigating semantic similarity measures across the Gene Ontology: the relationship between sequence and annotation. Bioinformatics 19(10) (2003)","key":"15_CR20","DOI":"10.1093\/bioinformatics\/btg153"},{"key":"15_CR21","volume-title":"Learning with Kernels","author":"B. Sch\u00f6lkopf","year":"2002","unstructured":"Sch\u00f6lkopf, B., Smola, A.J.: Learning with Kernels. MIT Press, Cambridge (2002)"},{"doi-asserted-by":"crossref","unstructured":"Loganantharaj, R., Cheepala, S., Clifford, J.: Metric for Measuring the Effectiveness of Clustering of DNA Microarray Expression. BMC Bioinformatics 7 (2006)","key":"15_CR22","DOI":"10.1186\/1471-2105-7-S2-S5"},{"key":"15_CR23","doi-asserted-by":"publisher","first-page":"578","DOI":"10.1093\/bioinformatics\/btg455","volume":"20","author":"F. Al-Shahrour","year":"2004","unstructured":"Al-Shahrour, F., Diaz-Uriarte, R., Dopazo, J.: FatiGO: a web tool for finding significant associations of Gene Ontology terms with groups of genes. Bioinformatics\u00a020, 578\u2013580 (2004)","journal-title":"Bioinformatics"},{"issue":"9","key":"15_CR24","doi-asserted-by":"publisher","first-page":"1464","DOI":"10.1093\/bioinformatics\/bth088","volume":"20","author":"T. Bei\u00dfbarth","year":"2004","unstructured":"Bei\u00dfbarth, T., Speed, T.P.: GOstat: find statistically overrepresented Gene Ontologies within a group of genes. Bioinformatics\u00a020(9), 1464\u20131465 (2004)","journal-title":"Bioinformatics"},{"issue":"6","key":"15_CR25","doi-asserted-by":"publisher","first-page":"979","DOI":"10.1093\/bioinformatics\/bth040","volume":"20","author":"P.N. Robinson","year":"2004","unstructured":"Robinson, P.N., et al.: Ontologizing gene-expression microarray dat: characterizing clusters with Gene Ontology. Bioinformatics\u00a020(6), 979\u2013981 (2004)","journal-title":"Bioinformatics"}],"container-title":["Lecture Notes in Computer Science","Bioinformatics Research and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-72031-7_15.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,19]],"date-time":"2020-11-19T05:27:57Z","timestamp":1605763677000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-72031-7_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"ISBN":["9783540720300","9783540720317"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-72031-7_15","relation":{},"subject":[]}}