{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T21:56:44Z","timestamp":1743026204824,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":9,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642227080"},{"type":"electronic","value":"9783642227097"}],"license":[{"start":{"date-parts":[[2011,1,1]],"date-time":"2011-01-01T00:00:00Z","timestamp":1293840000000},"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":[[2011]]},"DOI":"10.1007\/978-3-642-22709-7_37","type":"book-chapter","created":{"date-parts":[[2011,7,25]],"date-time":"2011-07-25T16:13:09Z","timestamp":1311610389000},"page":"361-370","source":"Crossref","is-referenced-by-count":0,"title":["Association Rule Mining for the Identification of Activators from Gene Regulatory Network"],"prefix":"10.1007","author":[{"given":"Seema","family":"More","sequence":"first","affiliation":[]},{"given":"M.","family":"Vidya","sequence":"additional","affiliation":[]},{"given":"N.","family":"Sujana","sequence":"additional","affiliation":[]},{"given":"H. D.","family":"Soumya","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"37_CR1","doi-asserted-by":"crossref","unstructured":"Ji, L., Tan, K.-L.: Mining gene expression data for positive and negative co-regulated gene clusters (May 14, 2004)","DOI":"10.1093\/bioinformatics\/bth312"},{"key":"37_CR2","doi-asserted-by":"crossref","unstructured":"Huang, Z., Watts, G.S.: Large-scale regulatory network analysis from micro-array data: modified Bayesian network learning and association rule mining (April 2006)","DOI":"10.1016\/j.dss.2006.02.002"},{"key":"37_CR3","unstructured":"Karel, F., Kl\u00e9ma, J.: Quantitative association rule mining in genomics using apriori knowledge, Department of cybernetics, Czech Technical University in Prague, Technick\u00e1 2, Praha 6, 166 27 karelf1@fel.cvut.cz, klema@labe.felk.cvut.cz"},{"key":"37_CR4","unstructured":"Han, J., Kamber, M.: Data Mining Concepts and Techniques, 2nd edn. Morgan Kaufmann Publishers, San Francisco"},{"key":"37_CR5","unstructured":"Liang, S., Fuhrman, S., Somogyi, R.: REVEAL, a general reverse engineering algorithm for inference of genetic network architectures. In: Proceedings of the Pacific Symposium on Biocomputing, pp. 18\u201329 (1998)"},{"key":"37_CR6","doi-asserted-by":"crossref","unstructured":"Tang, B., Wu, X., Tan, G., Chen, S.-S., Jing, Q., Shen, B.: Computational inference and analysis of genetic regulatory networks via a supervised combinatorial-optimization pattern. In: Third Internation Symposium on Optimization and System Biology, Zhangjiajie, China, September 20-22 (2009)","DOI":"10.1186\/1752-0509-4-S2-S3"},{"issue":"6","key":"37_CR7","doi-asserted-by":"publisher","first-page":"1013","DOI":"10.1142\/S0219720009004448","volume":"7","author":"G.J. Hickman","year":"2009","unstructured":"Hickman, G.J., Charlie Hodgman, T.: Inference of gene regulatory networks using boolean-network inference methods. Journal of Bioinformatics and Computational Biology\u00a07(6), 1013\u20131029 (2009)","journal-title":"Journal of Bioinformatics and Computational Biology"},{"key":"37_CR8","doi-asserted-by":"crossref","unstructured":"Ko, Y., Zhai, C., Rodriguez-Zas, S.: Inference of gene pathways using mixture Bayesian networks. BMC Systems Biology (May 2009)","DOI":"10.1186\/1752-0509-3-54"},{"issue":"1","key":"37_CR9","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1093\/bioinformatics\/19.1.79","volume":"19","author":"C. Creighton","year":"2003","unstructured":"Creighton, C., Hanash, S.: Mining gene expression databases for association rules. Bioinformatics\u00a019(1), 79\u201386 (2003)","journal-title":"Bioinformatics"}],"container-title":["Communications in Computer and Information Science","Advances in Computing and Communications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-22709-7_37","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,11,28]],"date-time":"2021-11-28T18:36:32Z","timestamp":1638124592000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-22709-7_37"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011]]},"ISBN":["9783642227080","9783642227097"],"references-count":9,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-22709-7_37","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2011]]}}}