{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T22:29:36Z","timestamp":1743114576324,"version":"3.40.3"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030608019"},{"type":"electronic","value":"9783030608026"}],"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\/978-3-030-60802-6_3","type":"book-chapter","created":{"date-parts":[[2020,10,13]],"date-time":"2020-10-13T18:04:35Z","timestamp":1602612275000},"page":"21-31","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Machine Learning Based Method to Identify Differentially Expressed Genes"],"prefix":"10.1007","author":[{"given":"Bolin","family":"Chen","sequence":"first","affiliation":[]},{"given":"Li","family":"Gao","sequence":"additional","affiliation":[]},{"given":"Xuequn","family":"Shang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,10,5]]},"reference":[{"issue":"1","key":"3_CR1","doi-asserted-by":"publisher","first-page":"2146","DOI":"10.4238\/2015.March.27.1","volume":"14","author":"LF Ning","year":"2015","unstructured":"Ning, L.F., Yu, Y.Q., Guoji, E.T., Kou, C.G., Yu, Q.: Meta-analysis of differentially expressed genes in autism based on gene expression data. Genet. Mol. Res. Gmr 14(1), 2146\u20132155 (2015)","journal-title":"Genet. Mol. Res. Gmr"},{"key":"3_CR2","first-page":"457460","volume":"14","author":"J DeRisi","year":"1996","unstructured":"DeRisi, J., et al.: Use of cDNA microarray to analyse gene expression patterns in human cancer. Nat. Genet. 14, 457460 (1996)","journal-title":"Nat. Genet."},{"issue":"1","key":"3_CR3","doi-asserted-by":"publisher","first-page":"347","DOI":"10.1186\/1471-2105-8-347","volume":"8","author":"JS Shaik","year":"2007","unstructured":"Shaik, J.S., Yeasin, M.: A unified framework for finding differentially expressed genes from microarray experiments. BMC Bioinform. 8(1), 347 (2007)","journal-title":"BMC Bioinform."},{"key":"3_CR4","first-page":"50","volume-title":"Methods of Statistical Analysis","author":"CH Goulden","year":"1956","unstructured":"Goulden, C.H.: Methods of Statistical Analysis, 2nd edn., pp. 50\u201355. Wiley, New York (1956)","edition":"2"},{"key":"3_CR5","doi-asserted-by":"publisher","first-page":"509","DOI":"10.1093\/bioinformatics\/17.6.509","volume":"17","author":"P Baldi","year":"2001","unstructured":"Baldi, P., Long, A.D.: A Bayesian framework for the analysis of microarray expression data: regularized t-test and statistical inferences of gene changes. Bioinformatics 17, 509\u2013519 (2001)","journal-title":"Bioinformatics"},{"issue":"2","key":"3_CR6","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1093\/bioinformatics\/bti1119","volume":"21","author":"S Mukherjee","year":"2005","unstructured":"Mukherjee, S., Roberts, S.J., Laan, M.J.: Data-adaptive test statistics for microarray data. Bioinformatics 21(2), 108\u2013114 (2005)","journal-title":"Bioinformatics"},{"issue":"2","key":"3_CR7","doi-asserted-by":"publisher","first-page":"248","DOI":"10.3732\/ajb.1100340","volume":"99","author":"VM Kvam","year":"2012","unstructured":"Kvam, V.M., Liu, P., Si, Y.: A comparison of statistical methods for detecting differentially expressed genes from RNAseq data. Am. J. Bot. 99(2), 248\u2013256 (2012)","journal-title":"Am. J. Bot."},{"issue":"1","key":"3_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.2202\/1544-6115.1027","volume":"3","author":"GK Smyth","year":"2004","unstructured":"Smyth, G.K.: Linear models and empirical Bayes methods for assessing differential expression in microarray experiments. Stat. Appl. Genet. Mol. Biol. 3(1), 1\u201328 (2004)","journal-title":"Stat. Appl. Genet. Mol. Biol."},{"issue":"1","key":"3_CR9","doi-asserted-by":"publisher","first-page":"861","DOI":"10.1186\/s12885-017-3884-2","volume":"17","author":"Z Zhang","year":"2017","unstructured":"Zhang, Z., Zhang, G., Gao, Z., Li, S., Li, Z., Bi, J., et al.: Comprehensive analysis of differentially expressed genes associated with PLK1 in bladder cancer. BMC Cancer 17(1), 861 (2017)","journal-title":"BMC Cancer"},{"key":"3_CR10","doi-asserted-by":"publisher","unstructured":"Chen, B., Gao, L., Shang, X.: Identifying differentially expressed genes based on differentially expressed edges. In: Intelligent Computing Theories and Application. ICIC 2019. Lecture Notes in Computer Science, vol. 11644 (2019). https:\/\/doi.org\/10.1007\/978-3-030-26969-2_10","DOI":"10.1007\/978-3-030-26969-2_10"},{"issue":"1","key":"3_CR11","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1186\/1471-2105-15-79","volume":"15","author":"NR Clark","year":"2014","unstructured":"Clark, N.R., et al.: The Characteristic direction: a geometrical approach to identify differentially expressed genes. BMC Bioinformatics 15(1), 79 (2014)","journal-title":"BMC Bioinformatics"},{"issue":"1","key":"3_CR12","doi-asserted-by":"publisher","first-page":"285","DOI":"10.1186\/1471-2105-11-285","volume":"11","author":"Q Zhu","year":"2010","unstructured":"Zhu, Q., Miecznikowski, J.C., Halfon, M.S.: Preferred analysis methods for Affymetrix genechips. ii. an expanded, balanced, wholly-defined spike-in dataset. BMC Bioinform. 11(1), 285 (2010)","journal-title":"BMC Bioinform."},{"issue":"1","key":"3_CR13","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1186\/1471-2105-15-14","volume":"15","author":"D Dembele","year":"2014","unstructured":"Dembele, D., Kastner, P.: Fold change rank ordering statistics: a new method for detecting differentially expressed genes. BMC Bioinform. 15(1), 14 (2014)","journal-title":"BMC Bioinform."},{"issue":"2","key":"3_CR14","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1093\/biostatistics\/4.2.249","volume":"4","author":"RA Irizarry","year":"2003","unstructured":"Irizarry, R.A., et al.: Exploration, normalization, and summaries of high density oligonucleotide array probe level data. Biostatistics 4(2), 249\u2013264 (2003)","journal-title":"Biostatistics"},{"issue":"5","key":"3_CR15","first-page":"6379","volume":"17","author":"Y Xiao","year":"2018","unstructured":"Xiao, Y., Feng, M., Ran, H., Han, X., Li, X.: Identification of key differentially expressed genes associated with nonsmall cell lung cancer by bioinformatics analyses. Mol. Med. Rep. 17(5), 6379\u20136386 (2018)","journal-title":"Mol. Med. Rep."},{"issue":"5","key":"3_CR16","first-page":"6425","volume":"17","author":"F Tang","year":"2018","unstructured":"Tang, F., et al.: Identification of differentially expressed genes and biological pathways in bladder cancer. Mol. Med. Rep. 17(5), 6425\u20136434 (2018)","journal-title":"Mol. Med. Rep."},{"key":"3_CR17","doi-asserted-by":"publisher","first-page":"504","DOI":"10.1186\/s12864-018-4884-6","volume":"19","author":"CG Broustas","year":"2018","unstructured":"Broustas, C.G., Harken, A.D., Garty, G., Amundson, S.A.: Identification of differentially expressed genes and pathways in mice exposed to mixed field neutron\/photon radiation. BMC Genom. 19, 504 (2018). https:\/\/doi.org\/10.1186\/s12864-018-4884-6","journal-title":"BMC Genom."},{"issue":"1","key":"3_CR18","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1186\/s12864-016-3436-1","volume":"18","author":"CG Broustas","year":"2017","unstructured":"Broustas, C.G., Xu, Y., Harken, A.D., Garty, G., Amundson, S.A.: Comparison of gene expression response to neutron and x-ray irradiation using mouse blood. BMC Genom. 18(1), 2 (2017)","journal-title":"BMC Genom."},{"issue":"8","key":"3_CR19","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1186\/1471-2105-8-273","volume":"30","author":"SD Pepper","year":"2007","unstructured":"Pepper, S.D., Saunders, E.K., Edwards, L.E., Wilson, C.L., Miller, C.J.: The utility of MAS5 expression summary and detection call algorithms. BMC Bioinformatics 30(8), 273 (2007)","journal-title":"BMC Bioinformatics"},{"issue":"1","key":"3_CR20","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman, L.: Random forests. Mach. Learn. 45(1), 5\u201332 (2001)","journal-title":"Mach. Learn."},{"issue":"3","key":"3_CR21","doi-asserted-by":"publisher","first-page":"374","DOI":"10.1093\/bioinformatics\/btm620","volume":"24","author":"F Hong","year":"2008","unstructured":"Hong, F., Breitling, R.: A comparison of meta-analysis methods for detecting differentially expressed genes in microarray experiments. Bioinformatics 24(3), 374\u2013382 (2008)","journal-title":"Bioinformatics"}],"container-title":["Lecture Notes in Computer Science","Intelligent Computing Theories and Application"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-60802-6_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,25]],"date-time":"2023-10-25T15:32:38Z","timestamp":1698247958000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-60802-6_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030608019","9783030608026"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-60802-6_3","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":"5 October 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bari","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","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":"2 October 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 October 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":"icic2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ic-ic.tongji.edu.cn\/2020\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}