{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T14:21:30Z","timestamp":1742998890893,"version":"3.40.3"},"publisher-location":"Cham","reference-count":30,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031107658"},{"type":"electronic","value":"9783031107665"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-10766-5_10","type":"book-chapter","created":{"date-parts":[[2022,7,21]],"date-time":"2022-07-21T14:14:51Z","timestamp":1658412891000},"page":"115-128","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["miRNA and\u00a0mRNA Expression Analysis of\u00a0Human Breast Cancer Subtypes to\u00a0Identify New Markers"],"prefix":"10.1007","author":[{"given":"Shib Sankar","family":"Bhowmick","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Debotosh","family":"Bhattacharjee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,7,22]]},"reference":[{"issue":"2","key":"10_CR1","doi-asserted-by":"publisher","first-page":"198","DOI":"10.1007\/s12282-017-0814-8","volume":"25","author":"M Adhami","year":"2017","unstructured":"Adhami, M., Haghdoost, A.A., Sadeghi, B., Malekpour Afshar, R.: Candidate miRNAs in human breast cancer biomarkers: a systematic review. Breast Cancer 25(2), 198\u2013205 (2017). https:\/\/doi.org\/10.1007\/s12282-017-0814-8","journal-title":"Breast Cancer"},{"issue":"2","key":"10_CR2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0009171","volume":"5","author":"P Alexiou","year":"2010","unstructured":"Alexiou, P., Maragkakis, M., Papadopoulos, G.L., Simmosis, V.A., Zhang, L., Hatzigeorgiou, A.G.: The DIANA-mirExTra web server: from gene expression data to microRNA function. PloS one 5(2), e9171 (2010)","journal-title":"PloS one"},{"issue":"10","key":"10_CR3","doi-asserted-by":"publisher","first-page":"R106","DOI":"10.1186\/gb-2010-11-10-r106","volume":"11","author":"S Anders","year":"2010","unstructured":"Anders, S., Huber, W.: Differential expression analysis for sequence count data. Genome Biol. 11(10), R106 (2010)","journal-title":"Genome Biol."},{"key":"10_CR4","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1111\/j.2517-6161.1995.tb02031.x","volume":"57","author":"Y Benjamini","year":"1995","unstructured":"Benjamini, Y., Hochberg, Y.: Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. Royal Stat. Society Ser. B (Methodological) 57, 289\u2013300 (1995)","journal-title":"J. Royal Stat. Society Ser. B (Methodological)"},{"issue":"12","key":"10_CR5","doi-asserted-by":"publisher","first-page":"1371","DOI":"10.1007\/s13258-019-00816-8","volume":"41","author":"SS Bhowmick","year":"2019","unstructured":"Bhowmick, S.S., Bhattacharjee, D., Rato, L.: In silico markers: an evolutionary and statistical approach to select informative genes of human breast cancer subtypes. Genes Genom. 41(12), 1371\u20131382 (2019)","journal-title":"Genes Genom."},{"key":"10_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiolchem.2019.107152","volume":"84","author":"SS Bhowmick","year":"2020","unstructured":"Bhowmick, S.S., Bhattacharjee, D., Rato, L.: Integrated analysis of the miRNA-mRNA next-generation sequencing data for finding their associations in different cancer types. Comput. Biol. Chem. 84, 107152 (2020)","journal-title":"Comput. Biol. Chem."},{"issue":"10","key":"10_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/gb-2007-8-10-r214","volume":"8","author":"C Blenkiron","year":"2007","unstructured":"Blenkiron, C., et al.: MicroRNA expression profiling of human breast cancer identifies new markers of tumor subtype. Genome Biol. 8(10), 1\u201316 (2007)","journal-title":"Genome Biol."},{"issue":"6","key":"10_CR8","doi-asserted-by":"publisher","first-page":"394","DOI":"10.3322\/caac.21492","volume":"68","author":"F Bray","year":"2018","unstructured":"Bray, F., Ferlay, J., Soerjomataram, I., Siegel, R.L., Torre, L.A., Jemal, A.: Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin. 68(6), 394\u2013424 (2018)","journal-title":"CA Cancer J. Clin."},{"issue":"11","key":"10_CR9","doi-asserted-by":"publisher","first-page":"857","DOI":"10.1038\/nrc1997","volume":"6","author":"GA Calin","year":"2006","unstructured":"Calin, G.A., Croce, C.M.: MicroRNA signatures in human cancers. Nat. Rev. Cancer 6(11), 857\u2013866 (2006)","journal-title":"Nat. Rev. Cancer"},{"issue":"2","key":"10_CR10","first-page":"1","volume":"13","author":"MR Dalman","year":"2012","unstructured":"Dalman, M.R., Deeter, A., Nimishakavi, G., Duan, Z.H.: Fold change and p-value cutoffs significantly alter microarray interpretations. BMC Bioinf. 13(2), 1 (2012)","journal-title":"BMC Bioinf."},{"issue":"35","key":"10_CR11","doi-asserted-by":"publisher","first-page":"13021","DOI":"10.1073\/pnas.0803304105","volume":"105","author":"JA Foekens","year":"2008","unstructured":"Foekens, J.A., et al.: Four miRNAs associated with aggressiveness of lymph node-negative, estrogen receptor-positive human breast cancer. Proc. Natl. Acad. Sci. 105(35), 13021\u201313026 (2008)","journal-title":"Proc. Natl. Acad. Sci."},{"issue":"8","key":"10_CR12","doi-asserted-by":"publisher","first-page":"e11","DOI":"10.1038\/jid.2013.248","volume":"133","author":"A Grada","year":"2013","unstructured":"Grada, A., Weinbrecht, K.: Next-generation sequencing: methodology and application. J. Invest. Dermatol. 133(8), e11 (2013)","journal-title":"J. Invest. Dermatol."},{"issue":"7","key":"10_CR13","doi-asserted-by":"publisher","first-page":"522","DOI":"10.1038\/nrg1379","volume":"5","author":"L He","year":"2004","unstructured":"He, L., Hannon, G.J.: MicroRNAs: small RNAs with a big role in gene regulation. Nat. Rev. Genet. 5(7), 522\u2013531 (2004)","journal-title":"Nat. Rev. Genet."},{"issue":"16","key":"10_CR14","doi-asserted-by":"publisher","first-page":"7065","DOI":"10.1158\/0008-5472.CAN-05-1783","volume":"65","author":"MV Iorio","year":"2005","unstructured":"Iorio, M.V., et al.: MicroRNA gene expression deregulation in human breast cancer. Cancer Res. 65(16), 7065\u20137070 (2005)","journal-title":"Cancer Res."},{"key":"10_CR15","doi-asserted-by":"crossref","unstructured":"Kuleshov, M.V., et al.: Enrichr: a comprehensive gene set enrichment analysis web server 2016 update. Nucleic Acids Res., gkw377 (2016)","DOI":"10.1093\/nar\/gkw377"},{"key":"10_CR16","doi-asserted-by":"crossref","unstructured":"Liang, Z., Zhou, H., He, Z., Zheng, H., Wu, J.: mirAct: a web tool for evaluating microRNA activity based on gene expression data. Nucleic Acids Res. 39(suppl_2), W139\u2013W144 (2011)","DOI":"10.1093\/nar\/gkr351"},{"issue":"7043","key":"10_CR17","doi-asserted-by":"publisher","first-page":"834","DOI":"10.1038\/nature03702","volume":"435","author":"J Lu","year":"2005","unstructured":"Lu, J., et al.: MicroRNA expression profiles classify human cancers. Nature 435(7043), 834\u2013838 (2005)","journal-title":"Nature"},{"issue":"8","key":"10_CR18","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0042390","volume":"7","author":"TP Lu","year":"2012","unstructured":"Lu, T.P., Lee, C.Y., Tsai, M.H., Chiu, Y.C., Hsiao, C.K., Lai, L.C., Chuang, E.Y.: miRSystem: an integrated system for characterizing enriched functions and pathways of microRNA targets. PloS one 7(8), e42390 (2012)","journal-title":"PloS one"},{"issue":"1","key":"10_CR19","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/1476-4598-5-24","volume":"5","author":"MD Mattie","year":"2006","unstructured":"Mattie, M.D.: Optimized high-throughput microRNA expression profiling provides novel biomarker assessment of clinical prostate and breast cancer biopsies. Molec. Cancer 5(1), 1\u201314 (2006)","journal-title":"Molec. Cancer"},{"issue":"3","key":"10_CR20","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0174999","volume":"12","author":"M Oh","year":"2017","unstructured":"Oh, M., et al.: Literature-based condition-specific miRNA-mRNA target prediction. PloS one 12(3), e0174999 (2017)","journal-title":"PloS one"},{"issue":"8","key":"10_CR21","doi-asserted-by":"publisher","first-page":"737","DOI":"10.1002\/sim.4780120803","volume":"12","author":"MS Pepe","year":"1993","unstructured":"Pepe, M.S., Mori, M.: Kaplan-meier, marginal or conditional probability curves in summarizing competing risks failure time data? Stat. Med. 12(8), 737\u2013751 (1993)","journal-title":"Stat. Med."},{"issue":"1","key":"10_CR22","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1186\/1758-907X-4-2","volume":"4","author":"SH Rasmussen","year":"2013","unstructured":"Rasmussen, S.H., Jacobsen, A., Krogh, A.: cWords-systematic microRNA regulatory motif discovery from mRNA expression data. Silence 4(1), 2 (2013)","journal-title":"Silence"},{"issue":"1","key":"10_CR23","doi-asserted-by":"publisher","first-page":"643","DOI":"10.1186\/1471-2164-14-643","volume":"14","author":"E de Rinaldis","year":"2013","unstructured":"de Rinaldis, E., et al.: Integrated genomic analysis of triple-negative breast cancers reveals novel microRNAs associated with clinical and molecular phenotypes and sheds light on the pathways they control. BMC Genom. 14(1), 643 (2013)","journal-title":"BMC Genom."},{"issue":"1","key":"10_CR24","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1093\/bioinformatics\/btp616","volume":"26","author":"MD Robinson","year":"2010","unstructured":"Robinson, M.D., McCarthy, D.J., Smyth, G.K.: edgeR: a bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics 26(1), 139\u2013140 (2010)","journal-title":"Bioinformatics"},{"issue":"19","key":"10_CR25","doi-asserted-by":"publisher","first-page":"10869","DOI":"10.1073\/pnas.191367098","volume":"98","author":"T S\u00f8rlie","year":"2001","unstructured":"S\u00f8rlie, T., et al.: Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc. Natl. Acad. Sci. 98(19), 10869\u201310874 (2001)","journal-title":"Proc. Natl. Acad. Sci."},{"issue":"3","key":"10_CR26","doi-asserted-by":"publisher","first-page":"e45","DOI":"10.1093\/nar\/gks1142","volume":"41","author":"I Steinfeld","year":"2012","unstructured":"Steinfeld, I., Navon, R., Ach, R., Yakhini, Z.: miRNA target enrichment analysis reveals directly active miRNAs in health and disease. Nucleic Acids Res. 41(3), e45\u2013e45 (2012)","journal-title":"Nucleic Acids Res."},{"issue":"5","key":"10_CR27","doi-asserted-by":"publisher","first-page":"515","DOI":"10.1007\/s12282-014-0554-y","volume":"21","author":"R Vikram","year":"2014","unstructured":"Vikram, R., Ramachandran, R., Abdul, K.S.M.: Functional significance of long non-coding RNAs in breast cancer. Breast Cancer 21(5), 515\u2013521 (2014). https:\/\/doi.org\/10.1007\/s12282-014-0554-y","journal-title":"Breast Cancer"},{"issue":"18","key":"10_CR28","doi-asserted-by":"publisher","first-page":"7413","DOI":"10.1073\/pnas.1304977110","volume":"110","author":"S Volinia","year":"2013","unstructured":"Volinia, S., Croce, C.M.: Prognostic microrna\/mrna signature from the integrated analysis of patients with invasive breast cancer. Proc. Natl. Acad. Sci. 110(18), 7413\u20137417 (2013)","journal-title":"Proc. Natl. Acad. Sci."},{"issue":"10","key":"10_CR29","doi-asserted-by":"publisher","first-page":"1113","DOI":"10.1038\/ng.2764","volume":"45","author":"JN Weinstein","year":"2013","unstructured":"Weinstein, J.N., et al.: The cancer genome atlas pan-cancer analysis project. Nat. Genet. 45(10), 1113\u20131120 (2013)","journal-title":"Nat. Genet."},{"key":"10_CR30","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/srep07922","volume":"5","author":"X Zhuang","year":"2015","unstructured":"Zhuang, X., et al.: Integrated miRNA and mRNA expression profiling to identify mRNA targets of dysregulated miRNAs in non-obstructive azoospermia. Sci. Rep. 5, 1\u20139 (2015)","journal-title":"Sci. Rep."}],"container-title":["Communications in Computer and Information Science","Computational Intelligence in Communications and Business Analytics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-10766-5_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,29]],"date-time":"2024-09-29T15:37:55Z","timestamp":1727624275000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-10766-5_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031107658","9783031107665"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-10766-5_10","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"22 July 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CICBA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Intelligence in Communications and Business Analytics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Silchar","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 January 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 January 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cicba2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.cicba.in","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"107","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":"21","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":"13","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":"20% - 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":"2.5","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}