{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T06:11:50Z","timestamp":1725862310988},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319443317"},{"type":"electronic","value":"9783319443324"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"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":[[2016]]},"DOI":"10.1007\/978-3-319-44332-4_6","type":"book-chapter","created":{"date-parts":[[2016,7,30]],"date-time":"2016-07-30T11:02:39Z","timestamp":1469876559000},"page":"71-83","source":"Crossref","is-referenced-by-count":0,"title":["A Novel Technique for Reduction of False Positives in Predicted Gene Regulatory Networks"],"prefix":"10.1007","author":[{"given":"Abhinandan","family":"Khan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Goutam","family":"Saha","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rajat Kumar","family":"Pal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,7,31]]},"reference":[{"key":"6_CR1","volume-title":"Analysing Microarray Gene Expression Data","author":"G McLachlan","year":"2005","unstructured":"McLachlan, G., Do, K.A., Ambroise, C.: Analysing Microarray Gene Expression Data. Wiley, New York (2005)"},{"issue":"3","key":"6_CR2","doi-asserted-by":"crossref","first-page":"437","DOI":"10.1016\/0022-5193(69)90015-0","volume":"22","author":"SA Kauffman","year":"1969","unstructured":"Kauffman, S.A.: Metabolic stability and epigenesis in randomly constructed genetic nets. J. Theor. Biol. 22(3), 437\u2013467 (1969)","journal-title":"J. Theor. Biol."},{"issue":"39","key":"6_CR3","doi-asserted-by":"crossref","first-page":"36168","DOI":"10.1074\/jbc.M104391200","volume":"276","author":"J Vohradsky","year":"2001","unstructured":"Vohradsky, J.: Neural model of the genetic network. J. Biol. Chem. 276(39), 36168\u201336173 (2001)","journal-title":"J. Biol. Chem."},{"key":"6_CR4","volume-title":"Computational Analysis of Biochemical Systems: A Practical Guide for Biochemists and Molecular Biologists","author":"EO Voit","year":"2000","unstructured":"Voit, E.O.: Computational Analysis of Biochemical Systems: A Practical Guide for Biochemists and Molecular Biologists. Cambridge University Press, Cambridge (2000)"},{"key":"6_CR5","first-page":"1","volume":"1","author":"H Hache","year":"2009","unstructured":"Hache, H., Lehrach, H., Herwig, R.: Reverse engineering of gene regulatory networks: a comparative study. EURASIP J. Bioinform. Syst. Biol. 1, 1\u201312 (2009)","journal-title":"EURASIP J. Bioinform. Syst. Biol."},{"key":"6_CR6","doi-asserted-by":"crossref","unstructured":"Eberhart, R.C., Kennedy, J.: A new optimizer using particle swarm theory. In: Proceedings of the Sixth International Symposium on Micro Machine and Human Science, vol. 1, pp. 39\u201343 (1995)","DOI":"10.1109\/MHS.1995.494215"},{"key":"6_CR7","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1007\/978-3-642-12538-6_6","volume-title":"Nature Inspired Cooperative Strategies for Optimization (NICSO)","author":"XS Yang","year":"2010","unstructured":"Yang, X.S.: A new metaheuristic bat-inspired algorithm. In: Gonz\u00e1lez, J.R., Pelta, D.A., Cruz, C., Terrazas, G., Krasnogor, N. (eds.) Nature Inspired Cooperative Strategies for Optimization (NICSO), vol. 284, pp. 65\u201374. Springer, Heidelberg (2010)"},{"issue":"2","key":"6_CR8","doi-asserted-by":"crossref","first-page":"358","DOI":"10.1109\/TCBB.2011.87","volume":"9","author":"K Kentzoglanakis","year":"2012","unstructured":"Kentzoglanakis, K., Poole, M.: A swarm intelligence framework for reconstructing gene networks: searching for biologically plausible architectures. IEEE\/ACM Trans. Comput. Biol. Bioinf. 9(2), 358\u2013371 (2012)","journal-title":"IEEE\/ACM Trans. Comput. Biol. Bioinf."},{"issue":"4","key":"6_CR9","doi-asserted-by":"crossref","first-page":"507","DOI":"10.1517\/14622416.3.4.507","volume":"3","author":"EV Someren","year":"2002","unstructured":"Someren, E.V., Wessels, L.F.A., Backer, E., Reinders, M.J.T.: Genetic network modeling. Pharmacogenomics 3(4), 507\u2013525 (2002)","journal-title":"Pharmacogenomics"},{"issue":"16","key":"6_CR10","doi-asserted-by":"crossref","first-page":"10555","DOI":"10.1073\/pnas.152046799","volume":"99","author":"M Ronen","year":"2002","unstructured":"Ronen, M., Rosenberg, R., Shraiman, B.I., Alon, U.: Assigning numbers to the arrows: parameterizing a gene regulation network by using accurate expression kinetics. Proc. Nat. Acad. Sci. 99(16), 10555\u201310560 (2002)","journal-title":"Proc. Nat. Acad. Sci."},{"issue":"16","key":"6_CR11","doi-asserted-by":"crossref","first-page":"2263","DOI":"10.1093\/bioinformatics\/btr373","volume":"27","author":"T Schaffter","year":"2011","unstructured":"Schaffter, T., Marbach, D., Floreano, D.: GeneNetWeaver: in silico benchmark generation and performance profiling of network inference methods. Bioinformatics 27(16), 2263\u20132270 (2011)","journal-title":"Bioinformatics"},{"issue":"10","key":"6_CR12","doi-asserted-by":"crossref","first-page":"e13397","DOI":"10.1371\/journal.pone.0013397","volume":"5","author":"A Greenfield","year":"2010","unstructured":"Greenfield, A., Madar, A., Ostrer, H., Bonneau, R.: DREAM4: combining genetic and dynamic information to identify biological networks and dynamical models. PloS One 5(10), e13397 (2010)","journal-title":"PloS One"},{"key":"6_CR13","doi-asserted-by":"crossref","unstructured":"Khan, A., Mandal, S., Pal, R.K., Saha, G.: Construction of gene regulatory networks using recurrent neural networks and swarm intelligence. Scientifica 2016(1060843), 14 pages (2016)","DOI":"10.1155\/2016\/1060843"},{"issue":"12","key":"6_CR14","doi-asserted-by":"crossref","first-page":"1118","DOI":"10.1002\/bies.10189","volume":"24","author":"H Bolouri","year":"2002","unstructured":"Bolouri, H., Davidson, E.H.: Modeling transcriptional regulatory networks. BioEssays 24(12), 1118\u20131129 (2002)","journal-title":"BioEssays"},{"key":"6_CR15","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1016\/j.neucom.2015.02.020","volume":"160","author":"AR Chowdhury","year":"2015","unstructured":"Chowdhury, A.R., Chetty, M.: Network decomposition based large-scale reverse engineering of gene regulatory network. Neurocomputing 160, 213\u2013227 (2015)","journal-title":"Neurocomputing"},{"key":"6_CR16","unstructured":"https:\/\/en.wikipedia.org\/wiki\/Ensemble_learning"}],"container-title":["Lecture Notes in Computer Science","Computational Intelligence Methods for Bioinformatics and Biostatistics"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-44332-4_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,11]],"date-time":"2019-09-11T23:54:45Z","timestamp":1568246085000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-44332-4_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319443317","9783319443324"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-44332-4_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]}}}