{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T08:14:18Z","timestamp":1743063258305,"version":"3.40.3"},"publisher-location":"Cham","reference-count":37,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030578206"},{"type":"electronic","value":"9783030578213"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","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":[[2020]]},"DOI":"10.1007\/978-3-030-57821-3_6","type":"book-chapter","created":{"date-parts":[[2020,8,17]],"date-time":"2020-08-17T09:08:43Z","timestamp":1597655323000},"page":"56-67","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["EpIntMC: Detecting Epistatic Interactions Using Multiple Clusterings"],"prefix":"10.1007","author":[{"given":"Huiling","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Guoxian","family":"Yu","sequence":"additional","affiliation":[]},{"given":"Wei","family":"Ren","sequence":"additional","affiliation":[]},{"given":"Maozu","family":"Guo","sequence":"additional","affiliation":[]},{"given":"Jun","family":"Wang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,8,18]]},"reference":[{"issue":"1","key":"6_CR1","doi-asserted-by":"publisher","first-page":"256","DOI":"10.1186\/s12885-019-5463-1","volume":"19","author":"K Abdulrashid","year":"2019","unstructured":"Abdulrashid, K., AlHussaini, N., Ahmed, W., Thalib, L.: Prevalence of BRCA mutations among hereditary breast and\/or ovarian cancer patients in Arab countries: systematic review and meta-analysis. BMC Cancer 19(1), 256 (2019). \n                  https:\/\/doi.org\/10.1186\/s12885-019-5463-1","journal-title":"BMC Cancer"},{"issue":"3","key":"6_CR2","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1007\/s11634-011-0090-y","volume":"5","author":"AN Albatineh","year":"2011","unstructured":"Albatineh, A.N., Niewiadomska-Bugaj, M.: Correcting Jaccard and other similarity indices for chance agreement in cluster analysis. Adv. Data Anal. Classif. 5(3), 179\u2013200 (2011). \n                  https:\/\/doi.org\/10.1007\/s11634-011-0090-y","journal-title":"Adv. Data Anal. Classif."},{"key":"6_CR3","doi-asserted-by":"crossref","unstructured":"Bailey, J.: Alternative clustering analysis: a review. In: Data Clustering, pp. 535\u2013550. Chapman and Hall\/CRC (2018)","DOI":"10.1201\/9781315373515-21"},{"issue":"10","key":"6_CR4","doi-asserted-by":"crossref","first-page":"781","DOI":"10.1038\/nrg1916","volume":"7","author":"DJ Balding","year":"2006","unstructured":"Balding, D.J.: A tutorial on statistical methods for population association studies. Nat. Rev. Genet. 7(10), 781 (2006)","journal-title":"Nat. Rev. Genet."},{"issue":"2","key":"6_CR5","doi-asserted-by":"crossref","first-page":"362","DOI":"10.1002\/ijc.28040","volume":"133","author":"JL Bermejo","year":"2013","unstructured":"Bermejo, J.L., et al.: Exploring the association between genetic variation in the SUMO isopeptidase gene USPL1 and breast cancer through integration of data from the population-based genica study and external genetic databases. Int. J. Cancer 133(2), 362\u2013372 (2013)","journal-title":"Int. J. Cancer"},{"issue":"11","key":"6_CR6","doi-asserted-by":"crossref","first-page":"1329","DOI":"10.1038\/ng.2007.17","volume":"39","author":"PR Burton","year":"2007","unstructured":"Burton, P.R., et al.: Association scan of 14,500 nonsynonymous SNPs in four diseases identifies autoimmunity variants. Nat. Genet. 39(11), 1329 (2007)","journal-title":"Nat. Genet."},{"issue":"8","key":"6_CR7","doi-asserted-by":"crossref","first-page":"2267","DOI":"10.3390\/ijms19082267","volume":"19","author":"X Cao","year":"2018","unstructured":"Cao, X., Yu, G., Liu, J., Jia, L., Wang, J.: ClusterMI: detecting high-order SNP interactions based on clustering and mutual information. Int. J. Mol. Sci. 19(8), 2267 (2018)","journal-title":"Int. J. Mol. Sci."},{"key":"6_CR8","doi-asserted-by":"crossref","first-page":"719","DOI":"10.1002\/humu.23951","volume":"40","author":"X Cao","year":"2020","unstructured":"Cao, X., Yu, G., Ren, W., Guo, M., Wang, J.: DualWMDR: detecting epistatic interaction with dual screening and multifactor dimensionality reduction. Hum. Mutat. 40, 719\u2013734 (2020)","journal-title":"Hum. Mutat."},{"issue":"1","key":"6_CR9","doi-asserted-by":"crossref","first-page":"304","DOI":"10.1016\/j.gene.2013.09.041","volume":"533","author":"AS Chattopadhyay","year":"2014","unstructured":"Chattopadhyay, A.S., Hsiao, C.L., Chang, C.C., Lian, I.B., Fann, C.S.: Summarizing techniques that combine three non-parametric scores to detect disease-associated 2-way SNP-SNP interactions. Gene 533(1), 304\u2013312 (2014)","journal-title":"Gene"},{"issue":"2","key":"6_CR10","doi-asserted-by":"crossref","first-page":"461","DOI":"10.1086\/338759","volume":"70","author":"R Culverhouse","year":"2002","unstructured":"Culverhouse, R., Suarez, B.K., Lin, J., Reich, T.: A perspective on epistasis: limits of models displaying no main effect. Am. J. Hum. Genet. 70(2), 461\u2013471 (2002)","journal-title":"Am. J. Hum. Genet."},{"issue":"1","key":"6_CR11","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1109\/TPAMI.2008.277","volume":"32","author":"CH Ding","year":"2010","unstructured":"Ding, C.H., Li, T., Jordan, M.I.: Convex and semi-nonnegative matrix factorizations. TPAMI 32(1), 45\u201355 (2010)","journal-title":"TPAMI"},{"issue":"1","key":"6_CR12","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1186\/1471-2105-15-102","volume":"15","author":"X Guo","year":"2014","unstructured":"Guo, X., Meng, Y., Yu, N., Pan, Y.: Cloud computing for detecting high-order genome-wide epistatic interaction via dynamic clustering. BMC Bioinform. 15(1), 102 (2014)","journal-title":"BMC Bioinform."},{"issue":"3","key":"6_CR13","doi-asserted-by":"crossref","first-page":"264","DOI":"10.1145\/331499.331504","volume":"31","author":"AK Jain","year":"1999","unstructured":"Jain, A.K., Murty, M.N., Flynn, P.J.: Data clustering: a review. ACM Comput. Surv. 31(3), 264\u2013323 (1999)","journal-title":"ACM Comput. Surv."},{"issue":"17","key":"6_CR14","doi-asserted-by":"crossref","first-page":"4994","DOI":"10.1158\/0008-5472.CAN-15-2322","volume":"76","author":"H Lee","year":"2016","unstructured":"Lee, H., Goodarzi, H., Tavazoie, S.F., Alarc\u00f3n, C.R.: TMEM2 is a SOX4-regulated gene that mediates metastatic migration and invasion in breast cancer. Cancer Res. 76(17), 4994\u20135005 (2016)","journal-title":"Cancer Res."},{"issue":"6","key":"6_CR15","doi-asserted-by":"crossref","first-page":"334","DOI":"10.1159\/000022939","volume":"50","author":"W Li","year":"2000","unstructured":"Li, W., Reich, J.: A complete enumeration and classification of two-locus disease models. Hum. Hered. 50(6), 334\u2013349 (2000)","journal-title":"Hum. Hered."},{"issue":"6","key":"6_CR16","doi-asserted-by":"crossref","first-page":"153","DOI":"10.3390\/genes8060153","volume":"8","author":"J Liu","year":"2017","unstructured":"Liu, J., Yu, G., Jiang, Y., Wang, J.: HiSeeker: detecting high-order SNP interactions based on pairwise SNP combinations. Genes 8(6), 153 (2017)","journal-title":"Genes"},{"issue":"1","key":"6_CR17","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1186\/1471-2105-9-315","volume":"9","author":"L Ma","year":"2008","unstructured":"Ma, L., Runesha, H.B., Dvorkin, D., Garbe, J.R., Da, Y.: Parallel and serial computing tools for testing single-locus and epistatic SNP effects of quantitative traits in genome-wide association studies. BMC Bioinform. 9(1), 315 (2008). \n                  https:\/\/doi.org\/10.1186\/1471-2105-9-315","journal-title":"BMC Bioinform."},{"issue":"6","key":"6_CR18","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1186\/gm561","volume":"6","author":"TF Mackay","year":"2014","unstructured":"Mackay, T.F., Moore, J.H.: Why epistasis is important for tackling complex human disease genetics. Genome Med. 6(6), 42 (2014). \n                  https:\/\/doi.org\/10.1186\/gm561","journal-title":"Genome Med."},{"issue":"4","key":"6_CR19","doi-asserted-by":"crossref","first-page":"413","DOI":"10.1038\/ng1537","volume":"37","author":"J Marchini","year":"2005","unstructured":"Marchini, J., Donnelly, P., Cardon, L.R.: Genome-wide strategies for detecting multiple loci that influence complex diseases. Nat. Genet. 37(4), 413 (2005)","journal-title":"Nat. Genet."},{"issue":"4","key":"6_CR20","doi-asserted-by":"crossref","first-page":"445","DOI":"10.1093\/bioinformatics\/btp713","volume":"26","author":"JH Moore","year":"2010","unstructured":"Moore, J.H., Asselbergs, F.W., Williams, S.M.: Bioinformatics challenges for genome-wide association studies. Bioinformatics 26(4), 445\u2013455 (2010)","journal-title":"Bioinformatics"},{"key":"6_CR21","doi-asserted-by":"crossref","first-page":"285","DOI":"10.3389\/fgene.2015.00285","volume":"6","author":"C Niel","year":"2015","unstructured":"Niel, C., Sinoquet, C., Dina, C., Rocheleau, G.: A survey about methods dedicated to epistasis detection. Front. Genet. 6, 285 (2015)","journal-title":"Front. Genet."},{"issue":"1","key":"6_CR22","doi-asserted-by":"crossref","first-page":"138","DOI":"10.1086\/321276","volume":"69","author":"MD Ritchie","year":"2001","unstructured":"Ritchie, M.D., et al.: Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer. Am. J. Hum. Genet. 69(1), 138\u2013147 (2001)","journal-title":"Am. J. Hum. Genet."},{"key":"6_CR23","doi-asserted-by":"crossref","first-page":"370","DOI":"10.1016\/j.ebiom.2019.02.025","volume":"41","author":"K Sun","year":"2019","unstructured":"Sun, K., et al.: Oxidized ATM-mediated glycolysis enhancement in breast cancer-associated fibroblasts contributes to tumor invasion through lactate as metabolic coupling. EBioMedicine 41, 370\u2013383 (2019)","journal-title":"EBioMedicine"},{"issue":"1","key":"6_CR24","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1016\/j.bbcan.2019.05.004","volume":"1872","author":"S Vivekanandhan","year":"2019","unstructured":"Vivekanandhan, S., Mukhopadhyay, D.: Divergent roles of Plexin D1 in cancer. Biochimica et Biophysica Acta (BBA)-Rev. Cancer 1872(1), 103\u2013110 (2019)","journal-title":"Biochimica et Biophysica Acta (BBA)-Rev. Cancer"},{"issue":"3","key":"6_CR25","doi-asserted-by":"crossref","first-page":"325","DOI":"10.1016\/j.ajhg.2010.07.021","volume":"87","author":"X Wan","year":"2010","unstructured":"Wan, X., et al.: BOOST: a fast approach to detecting gene-gene interactions in genome-wide case-control studies. Am. J. Hum. Genet. 87(3), 325\u2013340 (2010)","journal-title":"Am. J. Hum. Genet."},{"issue":"1","key":"6_CR26","first-page":"1","volume":"99","author":"J Wang","year":"2020","unstructured":"Wang, J., Wang, X., Yu, G., Domeniconi, C., Yu, Z., Zhang, Z.: Discovering multiple co-clusterings with matrix factorization. IEEE Trans. Cybern. 99(1), 1\u201314 (2020)","journal-title":"IEEE Trans. Cybern."},{"key":"6_CR27","doi-asserted-by":"crossref","unstructured":"Wang, X., Wang, J., Domeniconi, C., Yu, G., Xiao, G., Guo, M.: Multiple independent subspace clusterings. In: AAAI, pp. 5353\u20135360 (2019)","DOI":"10.1609\/aaai.v33i01.33015353"},{"issue":"1","key":"6_CR28","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1186\/1756-0500-3-117","volume":"3","author":"Y Wang","year":"2010","unstructured":"Wang, Y., Liu, X., Robbins, K., Rekaya, R.: AntEpiSeeker: detecting epistatic interactions for case-control studies using a two-stage ant colony optimization algorithm. BMC Res. Notes 3(1), 117 (2010). \n                  https:\/\/doi.org\/10.1186\/1756-0500-3-117","journal-title":"BMC Res. Notes"},{"key":"6_CR29","doi-asserted-by":"crossref","unstructured":"Wei, S., Wang, J., Yu, G., Zhang, X., et al.: Multi-view multiple clusterings using deep matrix factorization. In: AAAI, pp. 1\u20138 (2020)","DOI":"10.1609\/aaai.v34i04.6104"},{"issue":"D1","key":"6_CR30","doi-asserted-by":"crossref","first-page":"D1001","DOI":"10.1093\/nar\/gkt1229","volume":"42","author":"D Welter","year":"2013","unstructured":"Welter, D., et al.: The NHGRI GWAS catalog, a curated resource of SNP-trait associations. Nucleic Acids Res. 42(D1), D1001\u2013D1006 (2013)","journal-title":"Nucleic Acids Res."},{"issue":"1","key":"6_CR31","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1093\/bioinformatics\/btr603","volume":"28","author":"M Xie","year":"2011","unstructured":"Xie, M., Li, J., Jiang, T.: Detecting genome-wide epistases based on the clustering of relatively frequent items. Bioinformatics 28(1), 5\u201312 (2011)","journal-title":"Bioinformatics"},{"issue":"15","key":"6_CR32","doi-asserted-by":"crossref","first-page":"2354","DOI":"10.1093\/bioinformatics\/btx163","volume":"33","author":"CH Yang","year":"2017","unstructured":"Yang, C.H., Chuang, L.Y., Lin, Y.D.: CMDR based differential evolution identifies the epistatic interaction in genome-wide association studies. Bioinformatics 33(15), 2354\u20132362 (2017)","journal-title":"Bioinformatics"},{"issue":"13","key":"6_CR33","doi-asserted-by":"crossref","first-page":"2228","DOI":"10.1093\/bioinformatics\/bty076","volume":"34","author":"CH Yang","year":"2018","unstructured":"Yang, C.H., Chuang, L.Y., Lin, Y.D.: Multiobjective multifactor dimensionality reduction to detect SNP-SNP interactions. Bioinformatics 34(13), 2228\u20132236 (2018)","journal-title":"Bioinformatics"},{"key":"6_CR34","doi-asserted-by":"crossref","unstructured":"Yao, S., Yu, G., Wang, J., Domeniconi, C., Zhang, X.: Multi-view multiple clustering. In: IJCAI, pp. 4121\u20134127 (2019)","DOI":"10.24963\/ijcai.2019\/572"},{"key":"6_CR35","doi-asserted-by":"crossref","unstructured":"Yao, S., Yu, G., Wang, X., Wang, J., Domeniconi, C., Guo, M.: Discovering multiple co-clusterings in subspaces. In: SDM, pp. 423\u2013431 (2019)","DOI":"10.1137\/1.9781611975673.48"},{"issue":"9","key":"6_CR36","doi-asserted-by":"crossref","first-page":"1167","DOI":"10.1038\/ng2110","volume":"39","author":"Y Zhang","year":"2007","unstructured":"Zhang, Y., Liu, J.S.: Bayesian inference of epistatic interactions in case-control studies. Nat. Genet. 39(9), 1167 (2007)","journal-title":"Nat. Genet."},{"issue":"2","key":"6_CR37","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1111\/j.1467-9868.2005.00503.x","volume":"67","author":"H Zou","year":"2005","unstructured":"Zou, H., Hastie, T.: Regularization and variable selection via the elastic net. J. Roy. Stat. Soc. B 67(2), 301\u2013320 (2005)","journal-title":"J. Roy. Stat. Soc. B"}],"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\/978-3-030-57821-3_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,31]],"date-time":"2020-08-31T23:08:43Z","timestamp":1598915323000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-57821-3_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030578206","9783030578213"],"references-count":37,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-57821-3_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"18 August 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ISBRA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Bioinformatics Research and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Moscow","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Russia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 December 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 December 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"isbra2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/isbra.confreg.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"131","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"33","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"18","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"25% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}