{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T10:29:22Z","timestamp":1743071362899,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":37,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811036132"},{"type":"electronic","value":"9789811036149"}],"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":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-981-10-3614-9_52","type":"book-chapter","created":{"date-parts":[[2017,1,7]],"date-time":"2017-01-07T00:02:41Z","timestamp":1483747361000},"page":"420-430","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Analysis of SNP Network Structure Based on Mutual Information of Breast Cancer Susceptibility Genes"],"prefix":"10.1007","author":[{"given":"Shudong","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shanqiang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shanshan","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinzeng","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sicheng","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yan","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaodan","family":"Fan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fayou","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinjie","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yun","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,1,8]]},"reference":[{"issue":"5281","key":"52_CR1","doi-asserted-by":"publisher","first-page":"1516","DOI":"10.1126\/science.273.5281.1516","volume":"273","author":"N Risch","year":"1996","unstructured":"Risch, N., Merikangas, K.: The future of genetic studies of complex human diseases. Sci. 273(5281), 1516\u20131517 (1996). AAAS Weekly Paper Edition","journal-title":"Sci."},{"issue":"6","key":"52_CR2","first-page":"501","volume":"25","author":"M Yuyan","year":"2011","unstructured":"Yuyan, M., Yanmei, Y., Huilong, C.: Relationship between genotype of rs3803662 locus in TOX3 gene and clinical and pathological characteristics of breast cancer. Pract. Oncol. J. 25(6), 501\u2013505 (2011)","journal-title":"Pract. Oncol. J."},{"issue":"3","key":"52_CR3","doi-asserted-by":"publisher","first-page":"312","DOI":"10.1038\/ng.1049","volume":"44","author":"M Ghoussaini","year":"2012","unstructured":"Ghoussaini, M., Fletcher, O., Michailidou, K., et al.: Genome-wide association analysis identifies three new breast cancer susceptibility loci. Nat. Genet. 44(3), 312\u2013318 (2012)","journal-title":"Nat. Genet."},{"issue":"10","key":"52_CR4","first-page":"1252","volume":"48","author":"K Wei","year":"2013","unstructured":"Wei, K., Chenxi, H., Xiaoyang, M.: Reliability feature extraction of breast cancer gene expression data based on ICASSO. Acta Universitatis Medicinalis Anhui 48(10), 1252\u20131255 (2013)","journal-title":"Acta Universitatis Medicinalis Anhui"},{"issue":"29","key":"52_CR5","doi-asserted-by":"publisher","first-page":"3581","DOI":"10.1002\/sim.3695","volume":"28","author":"S Szymczak","year":"2009","unstructured":"Szymczak, S., Igl, B.W., Ziegler, A.: Detecting SNP-expression associations: a comparison of mutual information and median test with standard statistical approaches. Stat. Med. 28(29), 3581\u20133596 (2009)","journal-title":"Stat. Med."},{"issue":"4","key":"52_CR6","doi-asserted-by":"publisher","first-page":"353","DOI":"10.1002\/gepi.20092","volume":"29","author":"Z Liu","year":"2005","unstructured":"Liu, Z., Lin, S.: Multilocus LD measure and tagging SNP selection with generalized mutual information. Genet. Epidemiol. 29(4), 353\u2013364 (2005)","journal-title":"Genet. Epidemiol."},{"key":"52_CR7","volume-title":"SIPSO: selectively informed particle swarm optimization based on mutual information to determine SNP-SNP interactions","author":"W Zhang","year":"2016","unstructured":"Zhang, W., Shang, J., Li, H.: SIPSO: selectively informed particle swarm optimization based on mutual information to determine SNP-SNP interactions. Springer, Berlin (2016)"},{"issue":"12","key":"52_CR8","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1016\/j.neucom.2016.02.023","volume":"193","author":"T Song","year":"2016","unstructured":"Song, T., Pan, L.: Spiking neural P systems with request rules. Neurocomput. 193(12), 193\u2013200 (2016)","journal-title":"Neurocomput."},{"key":"52_CR9","doi-asserted-by":"publisher","unstructured":"Song, T., Liu, X., Zhao, Y., Zhang, X.: Spiking neural P systems with white hole neurons. IEEE Trans. Nanobiosci. (2016). doi:\n                    10.1109\/TNB.2016.2598879","DOI":"10.1109\/TNB.2016.2598879"},{"key":"52_CR10","doi-asserted-by":"publisher","first-page":"380","DOI":"10.1016\/j.ins.2016.08.055","volume":"372","author":"T Song","year":"2016","unstructured":"Song, T., Pan, Z., Wong, D.M., Wang, X.: Design of logic gates using spiking neural P systems with homogeneous neurons and astrocytes-like control. Inf. Sci. 372, 380\u2013391 (2016)","journal-title":"Inf. Sci."},{"key":"52_CR11","doi-asserted-by":"publisher","first-page":"27624","DOI":"10.1038\/srep27624","volume":"6","author":"X Wang","year":"2016","unstructured":"Wang, X., Song, T., Gong, F., Pan, Z.: On the computational power of spiking neural P systems with self-organization. Sci. Rep. 6, 27624 (2016). doi:\n                    10.1038\/srep27624","journal-title":"Sci. Rep."},{"key":"52_CR12","doi-asserted-by":"publisher","first-page":"14785","DOI":"10.1039\/C6NR02695H","volume":"8","author":"X Shi","year":"2016","unstructured":"Shi, X., Wu, X., Song, T., Li, X.: Construction of DNA nanotubes with controllable diameters and patterns by using hierarchical DNA sub-tiles. Nanoscale 8, 14785\u201314792 (2016). doi:\n                    10.1039\/C6NR02695H","journal-title":"Nanoscale"},{"issue":"9","key":"52_CR13","doi-asserted-by":"publisher","first-page":"3461","DOI":"10.1073\/pnas.0712255105","volume":"105","author":"R Mani","year":"2008","unstructured":"Mani, R., St Onge, R.P., Giaever, G.: Defining genetic interaction. Proc. Natl. Acad. Sci. U.S.A. 105(9), 3461\u20133466 (2008)","journal-title":"Proc. Natl. Acad. Sci. U.S.A."},{"key":"52_CR14","doi-asserted-by":"crossref","unstructured":"Wang, S., Li, K., Xu, X.: Structural characteristics of gene networks for colon cancer. In: IEEE International Conference on Signal Processing, Piscataway, NJ, pp. 1\u20136 (2011)","DOI":"10.1109\/ICSPCC.2011.6061817"},{"issue":"11","key":"52_CR15","doi-asserted-by":"publisher","first-page":"2078","DOI":"10.1093\/hmg\/ddp120","volume":"18","author":"SE Baranzini","year":"2009","unstructured":"Baranzini, S.E., Galwey, N.W., Wang, J.: Pathway and network-based analysis of genome-wide association studies in multiple sclerosis. Hum. Mol. Genet. 18(11), 2078\u20132090 (2009)","journal-title":"Hum. Mol. Genet."},{"issue":"20","key":"52_CR16","doi-asserted-by":"publisher","first-page":"5110","DOI":"10.1111\/j.1742-4658.2005.04946.x","volume":"272","author":"PM Bowers","year":"2005","unstructured":"Bowers, P.M., O\u2019Connor, B.D., Cokus, S.J.: Utilizing logical relationships in genomic data to decipher cellular processes. FEBS J. 272(20), 5110\u20135118 (2005)","journal-title":"FEBS J."},{"issue":"11","key":"52_CR17","doi-asserted-by":"publisher","first-page":"e8090","DOI":"10.1371\/journal.pone.0008090","volume":"4","author":"S Cabrol","year":"2009","unstructured":"Cabrol, S.: Network properties of complex human disease genes identified through genome-wide association studies. Plos One 4(11), e8090 (2009)","journal-title":"Plos One"},{"key":"52_CR18","first-page":"1","volume-title":"Noise Reduction in Speech Processing","author":"PJ Benesty","year":"2009","unstructured":"Benesty, P.J., Chen, J., Huang, Y.: Pearson correlation coefficient. In: Benesty, P.J., Chen, J., Huang, Y. (eds.) Noise Reduction in Speech Processing, pp. 1\u20134. Springer, Berlin (2009)"},{"issue":"2","key":"52_CR19","doi-asserted-by":"crossref","first-page":"148","DOI":"10.1177\/172460080201700213","volume":"17","author":"R Artusi","year":"2002","unstructured":"Artusi, R., Verderio, P., Marubini, E.: Bravais-Pearson and Spearman correlation coefficients: meaning, test of hypothesis and confidence interval. Int. J. Biol. Markers 17(2), 148\u2013151 (2002)","journal-title":"Int. J. Biol. Markers"},{"issue":"20","key":"52_CR20","doi-asserted-by":"publisher","first-page":"2523","DOI":"10.1093\/bioinformatics\/btl391","volume":"22","author":"AV Werhli","year":"2006","unstructured":"Werhli, A.V., Grzegorczyk, M., Husmeier, D.: Comparative evaluation of reverse engineering gene regulatory networks with relevance networks, graphical Gaussian models and Bayesian networks. Bioinf. 22(20), 2523\u20132531 (2006)","journal-title":"Bioinf."},{"issue":"23","key":"52_CR21","doi-asserted-by":"publisher","first-page":"8577","DOI":"10.1073\/pnas.0601602103","volume":"103","author":"ME Newman","year":"2006","unstructured":"Newman, M.E.: Modularity and community structure in networks. Proc. Nat. Acad. Sci. 103(23), 8577\u20138582 (2006)","journal-title":"Proc. Nat. Acad. Sci."},{"issue":"16","key":"52_CR22","doi-asserted-by":"publisher","first-page":"2304","DOI":"10.1093\/bioinformatics\/btr341","volume":"27","author":"Z Su","year":"2011","unstructured":"Su, Z., Marchini, J., Donnelly, P.: HAPGEN2: simulation of multiple disease SNPs. Bioinf. 27(16), 2304\u20132305 (2011)","journal-title":"Bioinf."},{"issue":"3","key":"52_CR23","doi-asserted-by":"publisher","first-page":"1439","DOI":"10.1016\/j.neucom.2014.10.044","volume":"151","author":"T Song","year":"2015","unstructured":"Song, T., Zou, Q., Zeng, X., Liu, X.: Asynchronous spiking neural P systems with rules on synapses. Neurocomput. 151(3), 1439\u20131445 (2015)","journal-title":"Neurocomput."},{"issue":"7\u20138","key":"52_CR24","doi-asserted-by":"publisher","first-page":"1833","DOI":"10.1007\/s00521-013-1397-8","volume":"24","author":"T Song","year":"2014","unstructured":"Song, T., Wang, X., Zhang, Z., Chen, Z.: Homogenous spiking neural P systems with anti-spikes. Neural Comput. Appl. 24(7\u20138), 1833\u20131841 (2014)","journal-title":"Neural Comput. Appl."},{"issue":"1","key":"52_CR25","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1007\/s11063-014-9352-y","volume":"42","author":"T Song","year":"2015","unstructured":"Song, T., Wang, X.: Homogeneous spiking neural P systems with inhibitory synapses. Neural Process. Lett. 42(1), 199\u2013214 (2015)","journal-title":"Neural Process. Lett."},{"issue":"3","key":"52_CR26","doi-asserted-by":"publisher","first-page":"633","DOI":"10.1007\/s11063-014-9378-1","volume":"42","author":"T Song","year":"2015","unstructured":"Song, T., Liu, X., Zeng, X.: Asynchronous spiking neural P systems with anti-spikes. Neural Process. Lett. 42(3), 633\u2013647 (2015)","journal-title":"Neural Process. Lett."},{"key":"52_CR27","doi-asserted-by":"crossref","unstructured":"Song, T., Liu, X., Zhao, Y., Zhang, X.: Spiking Neural P Systems with White Hole Neurons. IEEE Trans. Nanobiosci. (2016, in press)","DOI":"10.1109\/TNB.2016.2598879"},{"key":"52_CR28","doi-asserted-by":"publisher","first-page":"380","DOI":"10.1016\/j.ins.2016.08.055","volume":"372","author":"T Song","year":"2016","unstructured":"Song, T., Zheng, P., Wong, M.D., Wang, X.: Design of logic gates using spiking neural P systems with homogeneous neurons and astrocytes-like control. Inf. Sci. 372, 380\u2013391 (2016)","journal-title":"Inf. Sci."},{"issue":"12","key":"52_CR29","doi-asserted-by":"publisher","first-page":"2925","DOI":"10.1162\/NECO_a_00665","volume":"26","author":"X Zhang","year":"2014","unstructured":"Zhang, X., Wang, B., Pan, L.: Spiking neural P systems with a generalized use of rules. Neural Comput. 26(12), 2925\u20132943 (2014)","journal-title":"Neural Comput."},{"issue":"7","key":"52_CR30","doi-asserted-by":"publisher","first-page":"1340","DOI":"10.1162\/NECO_a_00605","volume":"26","author":"X Zeng","year":"2014","unstructured":"Zeng, X., Zhang, X., Song, T., Pan, L.: Spiking neural P systems with thresholds. Neural Comput. 26(7), 1340\u20131361 (2014)","journal-title":"Neural Comput."},{"key":"52_CR31","doi-asserted-by":"publisher","first-page":"e108856","DOI":"10.1371\/journal.pone.0108856","volume":"9","author":"X Shi","year":"2014","unstructured":"Shi, X., Wang, Z., Deng, C., Song, T., Pan, L., Chen, Z.: A novel bio-sensor based on DNA strand displacement. PloS ONE 9, e108856 (2014)","journal-title":"PloS ONE"},{"key":"52_CR32","doi-asserted-by":"publisher","first-page":"1209","DOI":"10.1166\/jctn.2013.2830","volume":"10","author":"X Wang","year":"2013","unstructured":"Wang, X., Song, T., Wang, Z., Yansen, S., Liu, X.: MRPGA: motif detecting by modified random projection strategy and genetic algorithm. J. Comput. Theor. Nanosci. 10, 1209\u20131214 (2013)","journal-title":"J. Comput. Theor. Nanosci."},{"issue":"11","key":"52_CR33","doi-asserted-by":"publisher","first-page":"352","DOI":"10.1109\/TNB.2012.2208122","volume":"4","author":"T Song","year":"2012","unstructured":"Song, T., Pan, L., Wang, J., Venkat, I., Subramanian, K.G., Abdullah, R.: Normal forms of spiking neural P systems with anti-spikes. IEEE Trans. NanoBiosci. 4(11), 352\u2013359 (2012)","journal-title":"IEEE Trans. NanoBiosci."},{"issue":"1","key":"52_CR34","first-page":"37","volume":"14","author":"T Song","year":"2015","unstructured":"Song, T., Pan, L.: Spiking neural P systems with rules on synapses working in maximum spikes consumption strategy. IEEE Trans. NanoBiosci. 14(1), 37\u201343 (2015)","journal-title":"IEEE Trans. NanoBiosci."},{"issue":"4","key":"52_CR35","doi-asserted-by":"publisher","first-page":"465","DOI":"10.1109\/TNB.2015.2402311","volume":"14","author":"T Song","year":"2015","unstructured":"Song, T., Pan, L.: Spiking neural P systems with rules on synapses working in maximum spiking strategy. IEEE Trans. NanoBiosci. 14(4), 465\u2013477 (2015)","journal-title":"IEEE Trans. NanoBiosci."},{"key":"52_CR36","first-page":"1650013","volume":"3","author":"W Tingfang","year":"2016","unstructured":"Tingfang, W., Zhang, Z., Gong, F., Song, T., Chen, Z., Zhang, P., Zhao, Y.: NES-REBS: a novel nuclear export signal prediction method using regular expressions and biochemical properties. J. Bioinf. Comput. Biol. 3, 1650013 (2016)","journal-title":"J. Bioinf. Comput. Biol."},{"key":"52_CR37","unstructured":"Shi, X., Li, X., Song, T., Chen, Z.: A universal fast colorimetric method for DNA signal detection. J. Nanomater. (2016)"}],"container-title":["Communications in Computer and Information Science","Bio-inspired Computing \u2013 Theories and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-10-3614-9_52","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,22]],"date-time":"2019-05-22T08:59:13Z","timestamp":1558515553000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-10-3614-9_52"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9789811036132","9789811036149"],"references-count":37,"URL":"https:\/\/doi.org\/10.1007\/978-981-10-3614-9_52","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2016]]},"assertion":[{"value":"8 January 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BIC-TA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Bio-Inspired Computing: Theories and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Xi'an","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2016","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 October 2016","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 October 2016","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bicta2016","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2016.bicta.org","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}