{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T22:01:14Z","timestamp":1742940074109,"version":"3.40.3"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030596118"},{"type":"electronic","value":"9783030596125"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-59612-5_18","type":"book-chapter","created":{"date-parts":[[2020,9,17]],"date-time":"2020-09-17T15:56:47Z","timestamp":1600358207000},"page":"247-251","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Dissecting Biological Functions for BRCA Genes and Their Targeting MicroRNAs Within Eight Clusters"],"prefix":"10.1007","author":[{"given":"Yining","family":"Zhu","sequence":"first","affiliation":[]},{"given":"Ethan","family":"Sun","sequence":"additional","affiliation":[]},{"given":"Yongsheng","family":"Bai","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,9,18]]},"reference":[{"key":"18_CR1","doi-asserted-by":"crossref","unstructured":"Snyder, M.: Genomics and Personalized Medicine: What Everyone Needs to Know\u00ae. Oxford University Press, New York City (2016). Printed by Sheridan, USA","DOI":"10.1093\/wentk\/9780190234775.001.0001"},{"issue":"1","key":"18_CR2","doi-asserted-by":"publisher","first-page":"473","DOI":"10.1186\/s12885-018-4388-4","volume":"18","author":"S Huang","year":"2018","unstructured":"Huang, S., et al.: Genes and functions from breast cancer signatures. BMC Cancer 18(1), 473 (2018). https:\/\/doi.org\/10.1186\/s12885-018-4388-4","journal-title":"BMC Cancer"},{"issue":"1","key":"18_CR3","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1186\/s12920-019-0562-z","volume":"12","author":"L Ding","year":"2019","unstructured":"Ding, L., et al.: Clustering analysis of microRNA and mRNA expression data from TCGA using maximum edge-weighted matching algorithms. BMC Med. Genomics 12(1), 117 (2019). https:\/\/doi.org\/10.1186\/s12920-019-0562-z","journal-title":"BMC Med. Genomics"},{"issue":"W1","key":"18_CR4","doi-asserted-by":"publisher","first-page":"W13","DOI":"10.1093\/nar\/gks460","volume":"40","author":"A Bisognin","year":"2012","unstructured":"Bisognin, A., et al.: MAGIA2: from miRNA and genes expression data integrative analysis to microRNA-transcription factor mixed regulatory circuits (2012 update). Nucleic Acids Res. 40(W1), W13\u2013W21 (2012). https:\/\/doi.org\/10.1093\/nar\/gks460","journal-title":"Nucleic Acids Res."},{"issue":"9","key":"18_CR5","doi-asserted-by":"publisher","first-page":"458","DOI":"10.3390\/genes9090458","volume":"9","author":"WA Da Silveira","year":"2018","unstructured":"Da Silveira, W.A., et al.: miRmapper: a tool for interpretation of miRNA-mRNA interaction networks. Genes 9(9), 458 (2018)","journal-title":"Genes"},{"key":"18_CR6","doi-asserted-by":"publisher","first-page":"P10008","DOI":"10.1088\/1742-5468\/2008\/10\/P10008","volume":"2008","author":"DB Vincent","year":"2008","unstructured":"Vincent, D.B., Jean-Loup, G., Renaud, L., Etienne, L.: Fast unfolding of communities in large networks. J. Stat. Mech Theory Exp. 2008, P10008 (2008)","journal-title":"J. Stat. Mech Theory Exp."},{"issue":"9","key":"18_CR7","doi-asserted-by":"publisher","first-page":"702","DOI":"10.3390\/genes10090702","volume":"10","author":"X Dai","year":"2019","unstructured":"Dai, X., Ding, L., Liu, H., Zesheng, X., Jiang, H., Handelman, S., Bai, Y.: Identifying interaction clusters for MiRNA and MRNA pairs in TCGA. Genes 10(9), 702 (2019)","journal-title":"Genes"},{"issue":"1","key":"18_CR8","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1038\/nprot.2008.211","volume":"4","author":"DW Huang","year":"2009","unstructured":"Huang, D.W., Sherman, B.T., Lempicki, R.A.: Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nature Protoc. 4(1), 44\u201357 (2009). [PubMed]","journal-title":"Nature Protoc."},{"issue":"1","key":"18_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1093\/nar\/gkn923","volume":"37","author":"DW Huang","year":"2009","unstructured":"Huang, D.W., Sherman, B.T., Lempicki, R.A.: Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists. Nucleic Acids Res. 37(1), 1\u201313 (2009). [PubMed]","journal-title":"Nucleic Acids Res."},{"key":"18_CR10","doi-asserted-by":"publisher","first-page":"D155","DOI":"10.1093\/nar\/gky1141","volume":"47","author":"A Kozomara","year":"2019","unstructured":"Kozomara, A., Birgaoanu, M., Griffiths-Jones, S.: miRBase: from microRNA sequences to function. Nucleic Acids Res. 47, D155\u2013D162 (2019)","journal-title":"Nucleic Acids Res."},{"key":"18_CR11","doi-asserted-by":"publisher","first-page":"D68","DOI":"10.1093\/nar\/gkt1181","volume":"42","author":"A Kozomara","year":"2014","unstructured":"Kozomara, A., Griffiths-Jones, S.: miRBase: annotating high confidence microRNAs using deep sequencing data. Nucleic Acids Res. 42, D68\u2013D73 (2014)","journal-title":"Nucleic Acids Res."},{"key":"18_CR12","doi-asserted-by":"publisher","first-page":"373574","DOI":"10.1155\/2015\/373574","volume":"2015","author":"J Long","year":"2015","unstructured":"Long, J., Ji, Z., Jiang, K., Wang, Z., Meng, G.: miR-193b modulates resistance to Doxorubicin in human breast cancer cells by downregulating MCL-1. Biomed. Res. Int. 2015, 373574 (2015). https:\/\/doi.org\/10.1155\/2015\/373574. Epub 2015 Oct 7","journal-title":"Biomed. Res. Int."},{"key":"18_CR13","doi-asserted-by":"crossref","unstructured":"Vlachos, I.S., et al.: DIANA-miRPath v3. 0: deciphering microRNA function with experimental support. Nucleic Acids Res. 43, W460-W466 (2015). gkv403","DOI":"10.1093\/nar\/gkv403"}],"container-title":["Lecture Notes in Computer Science","Big Data \u2013 BigData 2020"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-59612-5_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,18]],"date-time":"2024-09-18T12:35:56Z","timestamp":1726662956000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-59612-5_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030596118","9783030596125"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-59612-5_18","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 September 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BIGDATA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Big Data","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Honolulu, HI","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","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":"18 September 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 September 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bigdata2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.bigdatacongress.org\/2020\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}