{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T14:08:02Z","timestamp":1743084482198,"version":"3.40.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031709586"},{"type":"electronic","value":"9783031709593"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-70959-3_8","type":"book-chapter","created":{"date-parts":[[2024,12,26]],"date-time":"2024-12-26T05:16:53Z","timestamp":1735190213000},"page":"149-177","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Integrative Approach to\u00a0Gene Expression Data Analysis: Combining Biclustering Techniques with\u00a0Gene Ontology"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6797-1467","authenticated-orcid":false,"given":"Sergii","family":"Babichev","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3736-4820","authenticated-orcid":false,"given":"Oleg","family":"Yarema","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5417-9403","authenticated-orcid":false,"given":"Ihor","family":"Liakh","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0001-6190-958X","authenticated-orcid":false,"given":"Andrii","family":"Honcharuk","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,12,27]]},"reference":[{"key":"8_CR1","unstructured":"Bioconductor: Open source software for Bioinformatics. https:\/\/bioconductor.org\/"},{"key":"8_CR2","unstructured":"The Cancer Genome Atlas Program (2023). https:\/\/www.cancer.gov\/ccg\/research\/genome-sequencing\/tcga"},{"key":"8_CR3","doi-asserted-by":"publisher","unstructured":"Abulfaraj, A., Shami, A., Alotaibi, N., et\u00a0al.: Exploration of genes encoding kegg pathway enzymes in rhizospheric microbiome of the wild plant abutilon fruticosum. AMB Express 14(1), Article no. 27 (2024). https:\/\/doi.org\/10.1186\/s13568-024-01678-4","DOI":"10.1186\/s13568-024-01678-4"},{"key":"8_CR4","unstructured":"Alexa, A., Rahnenfuhrer, J.: topgo: Enrichment Analysis for Gene Ontology. R package version 2.54.0 (2023). https:\/\/bioconductor.org\/packages\/topGO"},{"key":"8_CR5","unstructured":"Babichev, S., Korobchynskyi, M., Rudenko, M., Batenko, H.: Applying biclustering technique and gene ontology analysis for gene expression data processing. In: CEUR Workshop Proceedings, vol. 3675, pp. 14\u201328 (2024)"},{"key":"8_CR6","doi-asserted-by":"publisher","unstructured":"Babichev, S., Krejci, J., Bicanek, J., Lytvynenko, V.: Gene expression sequences clustering based on the internal and external clustering quality criteria. In: Proceedings of the 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies, CSIT 2017, pp. 91\u201394 (2017). https:\/\/doi.org\/10.1109\/STC-CSIT.2017.8098744","DOI":"10.1109\/STC-CSIT.2017.8098744"},{"key":"8_CR7","doi-asserted-by":"publisher","unstructured":"Babichev, S., Osypenko, V., Lytvynenko, V., et\u00a0al.: Comparison analysis of biclustering algorithms with the use of artificial data and gene expression profiles. In: 2018 IEEE 38th International Conference on Electronics and Nanotechnology, ELNANO 2018 \u2013 Proceeding, pp. 298\u2013304 (2018). https:\/\/doi.org\/10.1109\/ELNANO.2018.8477439","DOI":"10.1109\/ELNANO.2018.8477439"},{"issue":"5","key":"8_CR8","doi-asserted-by":"publisher","first-page":"2244","DOI":"10.1016\/j.jksuci.2019.11.011","volume":"34","author":"B Biswal","year":"2022","unstructured":"Biswal, B., Mohapatra, A., Vipsita, S.: Ensemble neighborhood search (ENS) for biclustering of gene expression microarray data and single cell RNA sequencing data. J. King Saud Univ. - Comput. Inf. Sci. 34(5), 2244\u20132251 (2022). https:\/\/doi.org\/10.1016\/j.jksuci.2019.11.011","journal-title":"J. King Saud Univ. - Comput. Inf. Sci."},{"key":"8_CR9","unstructured":"Carlson, M.: org.hs.eg.db: Genome wide annotation for Human. R package version 3.8.2. (2019). https:\/\/bioconductor.org\/packages\/release\/data\/annotation\/html\/org.Hs.eg.db.html"},{"key":"8_CR10","doi-asserted-by":"publisher","unstructured":"Chu, H.M., Liu, J.X., Zhang, K., Zheng, C.H., Wang, J., Kong, X.Z.: A binary biclustering algorithm based on the adjacency difference matrix for gene expression data analysis. BMC Bioinform. 23(1), Article no. 381 (2022). https:\/\/doi.org\/10.1186\/s12859-022-04842-4","DOI":"10.1186\/s12859-022-04842-4"},{"key":"8_CR11","doi-asserted-by":"publisher","first-page":"673","DOI":"10.1007\/978-981-13-1498-8_59","volume":"813","author":"S Dutta","year":"2019","unstructured":"Dutta, S., Hore, M., Ahmad, F., et al.: SBI-msreimpute: a sequential biclustering technique based on mean squared residue and euclidean distance to predict missing values in microarray gene expression data. Adv. Intell. Syst. Comput. 813, 673\u2013685 (2019). https:\/\/doi.org\/10.1007\/978-981-13-1498-8_59","journal-title":"Adv. Intell. Syst. Comput."},{"key":"8_CR12","doi-asserted-by":"publisher","unstructured":"Gates, A., Ahn, Y.Y.: The impact of random models on clustering similarity. J. Mach. Learn. Res. 18, 1\u201328 (2017). https:\/\/doi.org\/10.48550\/arXiv.1701.06508","DOI":"10.48550\/arXiv.1701.06508"},{"issue":"12","key":"8_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1615\/JAutomatInfScien.v35.i12.10","volume":"35","author":"V Gnatushenko","year":"2003","unstructured":"Gnatushenko, V.: The use of geometrical methods in multispectral image processing. J. Autom. Inf. Sci. 35(12), 1\u20138 (2003). https:\/\/doi.org\/10.1615\/JAutomatInfScien.v35.i12.10","journal-title":"J. Autom. Inf. Sci."},{"key":"8_CR14","doi-asserted-by":"publisher","unstructured":"Hnatushenko, V., Hnatushenko, V., Soldatenko, D., Heipke, C.: Enhancing the quality of CNN-based burned area detection in satellite imagery through data augmentation. Int. Arch. Photogrammetry Remote Sens. Spat. Inf. Sci. XLVIII-1\/W2-2023, 1749\u20131755 (2023). https:\/\/doi.org\/10.5194\/isprs-archives-XLVIII-1-W2-2023-1749-2023","DOI":"10.5194\/isprs-archives-XLVIII-1-W2-2023-1749-2023"},{"key":"8_CR15","doi-asserted-by":"publisher","unstructured":"Hnatushenko, V., Kogut, P., Uvarov, M.: On flexible co-registration of optical and SAR satellite images. Adv. Intell. Syst. Comput. 1246, 515\u2013534 (2021). https:\/\/doi.org\/10.1007\/978-3-030-54215-3_33","DOI":"10.1007\/978-3-030-54215-3_33"},{"key":"8_CR16","doi-asserted-by":"publisher","unstructured":"Imtiaz, T., Nanayakkara, J., Fang, A., et\u00a0al.: A user-driven machine learning approach for RNA-based sample discrimination and hierarchical classification. STAR Protocols 4(4), Article no. 102661 (2023). https:\/\/doi.org\/10.1016\/j.xpro.2023.102661","DOI":"10.1016\/j.xpro.2023.102661"},{"key":"8_CR17","doi-asserted-by":"publisher","unstructured":"Korobchinsky, M., Chyrun, L., Chyrun, L., Vysotska, V.: Peculiarities of content forming and analysis in internet newspaper covering music news. 1, 52\u201357 (2017). https:\/\/doi.org\/10.1109\/STC-CSIT.2017.8098735","DOI":"10.1109\/STC-CSIT.2017.8098735"},{"key":"8_CR18","doi-asserted-by":"publisher","unstructured":"Lytvyn, V., Vysotska, V., Demchuk, A., at\u00a0al.: Design of the architecture of an intelligent system for distributing commercial content in the internet space based on seo-technologies, neural networks, and machine learning. Eastern-Eur. J. Enterprise Technol. 2(2-98), 15\u201334 (2019). https:\/\/doi.org\/10.15587\/1729-4061.2019.164441","DOI":"10.15587\/1729-4061.2019.164441"},{"key":"8_CR19","doi-asserted-by":"publisher","unstructured":"Mahalle, R., Sun, W., Posos-Parra, O., et\u00a0al.: Identification of differentially expressed mirnas associated with diamide detoxification pathways in spodoptera frugiperda. Sci. Rep. 14(1), Article no. 4308 (2024). https:\/\/doi.org\/10.1038\/s41598-024-54771-w","DOI":"10.1038\/s41598-024-54771-w"},{"key":"8_CR20","doi-asserted-by":"publisher","unstructured":"Mehmetbeyoglu, E., Duman, A., Taheri, S., Ozkul, Y., Rassoulzadegan, M.: From data to insights: machine learning empowers prognostic biomarker prediction in autism. J. Personalized Med. 13(12), Article no. 1713 (2023). https:\/\/doi.org\/10.3390\/jpm13121713","DOI":"10.3390\/jpm13121713"},{"key":"8_CR21","doi-asserted-by":"publisher","unstructured":"Yelugam, R., Brito\u00a0da Silva, L., Wunsch\u00a0II, D.: Topological biclustering artmap for identifying within bicluster relationships. Neural Netw. 169, 34\u201349 (2023). https:\/\/doi.org\/10.1016\/j.neunet.2022.12.010","DOI":"10.1016\/j.neunet.2022.12.010"},{"key":"8_CR22","doi-asserted-by":"publisher","unstructured":"Yin, L., Qiu, J., Gao, S.: Biclustering of gene expression data using cuckoo search and genetic algorithm. Int. J. Pattern Recogn. Artif. Intell. 32(11), Article no. 1850039 (2018). https:\/\/doi.org\/10.1142\/S0218001418500398","DOI":"10.1142\/S0218001418500398"},{"key":"8_CR23","doi-asserted-by":"publisher","unstructured":"Zhang, F., Pei, S., Xiao, M.: Identification of functional genes in liver fibrosis based on bioinformatics analysis of a lncrna-mediated cerna network. BMC Med. Genom. 17(1), Article no. 56 (2024). https:\/\/doi.org\/10.1186\/s12920-024-01813-x","DOI":"10.1186\/s12920-024-01813-x"},{"key":"8_CR24","doi-asserted-by":"publisher","unstructured":"Zong, L., Zhu, Y., Jiang, Y., Xia, Y., Liu, Q., Jiang, S.: A comprehensive assessment of exome capture methods for RNA sequencing of formalin-fixed and paraffin-embedded samples. BMC Genom. 24(1), Article no. 777 (2023). https:\/\/doi.org\/10.1186\/s12864-023-09886-1","DOI":"10.1186\/s12864-023-09886-1"}],"container-title":["Lecture Notes on Data Engineering and Communications Technologies","Lecture Notes in Data Engineering, Computational Intelligence, and Decision-Making, Volume 1"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-70959-3_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,26]],"date-time":"2024-12-26T06:06:55Z","timestamp":1735193215000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-70959-3_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031709586","9783031709593"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-70959-3_8","relation":{},"ISSN":["2367-4512","2367-4520"],"issn-type":[{"type":"print","value":"2367-4512"},{"type":"electronic","value":"2367-4520"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"27 December 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ISDMCI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Scientific Conference \u201cIntellectual Systems of Decision Making and Problem of Computational Intelligence\u201d","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"\u00dast\u00ed nad Labem","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Czech Republic","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 June 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 June 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"isdmci2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.isdmci.ks.ua\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}