{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T13:57:00Z","timestamp":1743083820165,"version":"3.40.3"},"publisher-location":"Cham","reference-count":34,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030632694"},{"type":"electronic","value":"9783030632700"}],"license":[{"start":{"date-parts":[[2020,12,23]],"date-time":"2020-12-23T00:00:00Z","timestamp":1608681600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,12,23]],"date-time":"2020-12-23T00:00:00Z","timestamp":1608681600000},"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":[[2021]]},"DOI":"10.1007\/978-3-030-63270-0_9","type":"book-chapter","created":{"date-parts":[[2020,12,22]],"date-time":"2020-12-22T08:03:09Z","timestamp":1608624189000},"page":"130-144","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["An Analysis of Gene Regulatory Network Topology Using Results of DNA Microchip Experiments"],"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\/0000-0003-0926-9156","authenticated-orcid":false,"given":"Orest","family":"Khamula","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2089-5609","authenticated-orcid":false,"given":"Iryna","family":"Perova","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1526-9005","authenticated-orcid":false,"given":"Bohdan","family":"Durnyak","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,12,23]]},"reference":[{"key":"9_CR1","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1016\/j.artmed.2018.10.006","volume":"95","author":"FM Delgado","year":"2019","unstructured":"Delgado, F.M., G\u00f3mez-Vela, F.: Computational methods for Gene Regulatory Networks reconstruction and analysis: a review. Artif. Intell. Med. 95, 133\u2013145 (2019). https:\/\/doi.org\/10.1016\/j.artmed.2018.10.006","journal-title":"Artif. Intell. Med."},{"doi-asserted-by":"publisher","unstructured":"Van Der Wijst, M.G.P., De Vries, D.H., Brugge, H., Westra, H.-J., Franke, L.: An integrative approach for building personalized gene regulatory networks for precision medicine. Genome Med. 10(1), art. no. 96 (2018) https:\/\/doi.org\/10.1186\/s13073-018-0608-4","key":"9_CR2","DOI":"10.1186\/s13073-018-0608-4"},{"key":"9_CR3","series-title":"Methods in Molecular Biology","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1007\/978-1-4939-7717-8_8","volume-title":"Computational Systems Biology","author":"G Zheng","year":"2018","unstructured":"Zheng, G., Huang, T.: The reconstruction and analysis of gene regulatory networks. In: Huang, T. (ed.) Computational Systems Biology. MMB, vol. 1754, pp. 137\u2013154. Springer, New York (2018). https:\/\/doi.org\/10.1007\/978-1-4939-7717-8_8"},{"key":"9_CR4","doi-asserted-by":"publisher","first-page":"399","DOI":"10.1146\/annurev-cellbio-100913-012908","volume":"31","author":"D Thompson","year":"2015","unstructured":"Thompson, D., Regev, A., Roy, S.: Comparative analysis of gene regulatory networks: from network reconstruction to evolution. Ann. Rev. Cell Dev. Biol. 31, 399\u2013428 (2015). https:\/\/doi.org\/10.1146\/annurev-cellbio-100913-012908","journal-title":"Ann. Rev. Cell Dev. Biol."},{"issue":"23","key":"9_CR5","doi-asserted-by":"publisher","first-page":"4529","DOI":"10.1039\/c7an01152k","volume":"142","author":"X Liu","year":"2017","unstructured":"Liu, X., Tian, R., Gao, J., Liu, D., Wang, Z.: Multiplexed detection of microRNAs by a competitive DNA microarray-based resonance light scattering assay. Analyst 142(23), 4529\u20134535 (2017). https:\/\/doi.org\/10.1039\/c7an01152k","journal-title":"Analyst"},{"doi-asserted-by":"publisher","unstructured":"Shen, L., Jiang, H., He, M., Liu, G.: Collaborative representation-based classification of microarray gene expression data. PLoS ONE, 12(12), art. no. e0189533 (2017) https:\/\/doi.org\/10.1371\/journal.pone.0189533","key":"9_CR6","DOI":"10.1371\/journal.pone.0189533"},{"doi-asserted-by":"publisher","unstructured":"Gan, Y., Li, N., Zou, G., Xin, Y., Guan, J.: Identification of cancer subtypes from single-cell RNA-seq data using a consensus clustering method. BMC Medical Genom. 11, art. no. 117 (2018). https:\/\/doi.org\/10.1186\/s12920-018-0433-z","key":"9_CR7","DOI":"10.1186\/s12920-018-0433-z"},{"doi-asserted-by":"publisher","unstructured":"Zhang, X., Li, C., at al.: Expression profiles of MicroRNAs from multiple lumbar spine in sheep. Gene, 678, 105\u2013114 (2018). https:\/\/doi.org\/10.1016\/j.gene.2018.08.020","key":"9_CR8","DOI":"10.1016\/j.gene.2018.08.020"},{"issue":"D1","key":"9_CR9","doi-asserted-by":"publisher","first-page":"D353","DOI":"10.1093\/nar\/gkw1092","volume":"45","author":"M Kanehisa","year":"2017","unstructured":"Kanehisa, M., Furumichi, M., Tanabe, M., Sato, Y., Morishima, K.: KEGG: New perspectives on genomes, pathways, diseases and drugs. Nucleic Acids Res. 45(D1), D353\u2013D361 (2017). https:\/\/doi.org\/10.1093\/nar\/gkw1092","journal-title":"Nucleic Acids Res."},{"issue":"D1","key":"9_CR10","doi-asserted-by":"publisher","first-page":"D457","DOI":"10.1093\/nar\/gkv1070","volume":"44","author":"M Kanehisa","year":"2016","unstructured":"Kanehisa, M., Sato, Y., Kawashima, M., Furumichi, M., Tanabe, M.: KEGG as a reference resource for gene and protein annotation. Nucleic Acids Res. 44(D1), D457\u2013D462 (2016). https:\/\/doi.org\/10.1093\/nar\/gkv1070","journal-title":"Nucleic Acids Res."},{"doi-asserted-by":"publisher","unstructured":"Liang, W.S., Dunckley, T., Beach, at al.: Gene expression profiles in anatomically and functionally distinct regions of the normal aged human brain. Physiol. Genom. 28(3), 311\u2013322 (2007) https:\/\/doi.org\/10.1152\/physiolgenomics.00208.2006","key":"9_CR11","DOI":"10.1152\/physiolgenomics.00208.2006"},{"doi-asserted-by":"publisher","unstructured":"Liang, W.S., Reiman, E.M., Valla, J., at al.: Alzheimer\u2019s disease is associated with reduced expression of energy metabolism genes in posterior cingulate neurons. In: Proceedings of the National Academy of Sciences of the United States of America, 105(11), 4441\u20134446 (2008). https:\/\/doi.org\/10.1073\/pnas.0709259105","key":"9_CR12","DOI":"10.1073\/pnas.0709259105"},{"doi-asserted-by":"publisher","unstructured":"Babichev, S., Barilla, J., Fi\u0161er, J., \u0160kvor, J.: A hybrid model of gene expression profiles reducing based on the complex use of fuzzy inference system and clustering quality criteria. In: 2019 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (EUSFLAT 2019). Atlantis Press (2019\/08). https:\/\/doi.org\/10.2991\/eusflat-19.2019.20","key":"9_CR13","DOI":"10.2991\/eusflat-19.2019.20"},{"issue":"1","key":"9_CR14","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2008\/253894","volume":"2008","author":"K-C Liang","year":"2008","unstructured":"Liang, K.-C., Wang, X.: Gene regulatory network reconstruction using conditional mutual information. EURASIP J. Bioinform. Syst. Biol. 2008(1), 1\u201314 (2008). https:\/\/doi.org\/10.1155\/2008\/253894","journal-title":"EURASIP J. Bioinform. Syst. Biol."},{"issue":"11","key":"9_CR15","doi-asserted-by":"publisher","first-page":"2498","DOI":"10.1101\/gr.1239303","volume":"13","author":"P Shannon","year":"2003","unstructured":"Shannon, P., Markiel, A., Ozier, O., Baliga, N.S., Wang, J.T., Ramage, D., Amin, N., Schwikowski, B., Ideker, T.: Cytoscape: a software Environment for integrated models of biomolecular interaction networks. Genome Res. 13(11), 2498\u20132504 (2003). https:\/\/doi.org\/10.1101\/gr.1239303","journal-title":"Genome Res."},{"issue":"1","key":"9_CR16","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1089\/10665270252833208","volume":"9","author":"H De Jong","year":"2002","unstructured":"De Jong, H.: Modeling and simulation of genetic regulatory systems: a literature review. J. Comput. Biol. 9(1), 67\u2013103 (2002). https:\/\/doi.org\/10.1089\/10665270252833208","journal-title":"J. Comput. Biol."},{"key":"9_CR17","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1016\/j.copbio.2019.12.002","volume":"63","author":"MM Saint-Antoine","year":"2020","unstructured":"Saint-Antoine, M.M., Singh, A.: Network inference in systems biology: recent developments, challenges, and applications. Current Opinion Biotechnol. 63, 89\u201398 (2020). https:\/\/doi.org\/10.1016\/j.copbio.2019.12.002","journal-title":"Current Opinion Biotechnol."},{"issue":"11","key":"9_CR18","doi-asserted-by":"publisher","first-page":"1038","DOI":"10.1038\/s42255-019-0132-x","volume":"1","author":"M Seldin","year":"2019","unstructured":"Seldin, M., Yang, X., Lusis, A.J.: Systems genetics applications in metabolism research. Nat. Metabolism 1(11), 1038\u20131050 (2019). https:\/\/doi.org\/10.1038\/s42255-019-0132-x","journal-title":"Nat. Metabolism"},{"doi-asserted-by":"publisher","unstructured":"Gro\u00df, A., Kracher, B., at al.: Representing dynamic biological networks with multi-scale probabilistic models. Commun. Biol. 2(1), art. no. 21 (2019) https:\/\/doi.org\/10.1038\/s42003-018-0268-3","key":"9_CR19","DOI":"10.1038\/s42003-018-0268-3"},{"issue":"3","key":"9_CR20","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1007\/s10867-019-09526-4","volume":"45","author":"E Haliki","year":"2019","unstructured":"Haliki, E., Alpagut Keskin, N., Masalci, O.: Boolean gene regulatory network model of centromere function in Saccharomyces cerevisiae. J. Biol. Phys. 45(3), 235\u2013251 (2019). https:\/\/doi.org\/10.1007\/s10867-019-09526-4","journal-title":"J. Biol. Phys."},{"issue":"2","key":"9_CR21","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1093\/bioinformatics\/18.2.261","volume":"18","author":"I Shmulevich","year":"2002","unstructured":"Shmulevich, I., Dougherty, E.R., Kim, S., Zhang, W.: Probabilistic Boolean networks: a rule-based uncertainty model for gene regulatory networks. Bioinformatics 18(2), 261\u2013274 (2002). https:\/\/doi.org\/10.1093\/bioinformatics\/18.2.261","journal-title":"Bioinformatics"},{"doi-asserted-by":"publisher","unstructured":"Trairatphisan, P., Mizera, A., Pang, J., Tantar, A.A., Schneider, J., Sauter, T.: Recent development and biomedical applications of probabilistic Boolean networks. Cell Commun. Signal. 11(1), art. no. 46 (2013) https:\/\/doi.org\/10.1186\/1478-811x-11-46","key":"9_CR22","DOI":"10.1186\/1478-811x-11-46"},{"doi-asserted-by":"crossref","unstructured":"Koul, N., Manvi, S.K.S.: Inference of gene regulatory networks for prostate cancer using Bayesian networks with feedback and feed forward loops. Int. J. Eng. Adv. Technol. 8(5 SpecialIssue), 137\u2013147 (2019)","key":"9_CR23","DOI":"10.35940\/ijeat.E1029.0585S19"},{"key":"9_CR24","series-title":"Frontiers in Probability and the Statistical Sciences","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1007\/978-3-319-19518-6_8","volume-title":"Nonparametric Bayesian Inference in Biostatistics","author":"Y Ni","year":"2015","unstructured":"Ni, Y., Marchetti, G.M., Baladandayuthapani, V., Stingo, F.C.: Bayesian approaches for large biological networks. In: Mitra, R., M\u00fcller, P. (eds.) Nonparametric Bayesian Inference in Biostatistics. FPSS, pp. 153\u2013173. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-19518-6_8"},{"doi-asserted-by":"publisher","unstructured":"Babichev, S., Korobchynskyi, M., et al.: Development of a technique for the reconstruction and validation of gene network models based on gene expression profiles. Eastern-Euro. J. Enterprise Technol. 1(4\u201391), 19\u201332 (2018). https:\/\/doi.org\/10.15587\/1729-4061.2018.123634","key":"9_CR25","DOI":"10.15587\/1729-4061.2018.123634"},{"doi-asserted-by":"publisher","unstructured":"Babichev, S., Lytvynenko, V., Skvor, J., Korobchynskyi, M., Voronenko, M.: Information technology of gene expression profiles processing for purpose of gene regulatory networks reconstruction. In: Proceedings of the 2018 IEEE 2nd International Conference on Data Stream Mining and Processing, DSMP 2018, art. no. 8478452, pp. 336\u2013341 (2018). https:\/\/doi.org\/10.1109\/dsmp.2018.8478452","key":"9_CR26","DOI":"10.1109\/dsmp.2018.8478452"},{"issue":"1","key":"9_CR27","doi-asserted-by":"publisher","first-page":"70","DOI":"10.7124\/bc.00090F","volume":"32","author":"SA Babichev","year":"2016","unstructured":"Babichev, S.A., Kornelyuk, A.I., Lytvynenko, V.I., Osypenko, V.V.: Computational analysis of microarray gene expression profiles of lung cancer. Biopolym. Cell 32(1), 70\u201379 (2016). https:\/\/doi.org\/10.7124\/bc.00090F","journal-title":"Biopolym. Cell"},{"doi-asserted-by":"publisher","unstructured":"Rzheuskyi, A., Kutyuk, O., Vysotska, V., Burov, Y., Lytvyn, V., Chyrun, L.: The architecture of distant competencies analyzing system for IT recruitment. In: IEEE 2019 14th International Scientific and Technical Conference on Computer Sciences and Information Technologies, CSIT 2019 - Proceedings, 3, art. no. 8929762, pp. 254\u2013261 (2019). https:\/\/doi.org\/10.1109\/stc-csit.2019.8929762","key":"9_CR28","DOI":"10.1109\/stc-csit.2019.8929762"},{"key":"9_CR29","first-page":"281","volume":"2488","author":"L Chyrun","year":"2019","unstructured":"Chyrun, L., Leshchynskyy, E., Lytvyn, V., Rzheuskyi, A., Vysotska, V., Borzov, Y.: Intellectual analysis of making decisions tree in information systems of screening observation for immunological patients. CEUR Workshop Proc. 2488, 281\u2013296 (2019)","journal-title":"CEUR Workshop Proc."},{"doi-asserted-by":"publisher","unstructured":"Tkachenko, R., Izonin, I., Vitynskyi, P., Lotoshynska, N., Pavlyuk, O.: Development of the non-iterative supervised learning predictor based on the ITO decomposition and SGTM neural-like structure for managing medical insurance costs. Data, 3(4), art. no. 46 (2018). https:\/\/doi.org\/10.3390\/data3040046","key":"9_CR30","DOI":"10.3390\/data3040046"},{"issue":"5","key":"9_CR31","doi-asserted-by":"publisher","first-page":"55","DOI":"10.5815\/ijisa.2017.05.07","volume":"9","author":"Z Hu","year":"2017","unstructured":"Hu, Z., Bodyanskiy, Y., Tyshchenko, O., Samitova, V.: Possibilistic fuzzy clustering for categorical data arrays based on frequency prototypes and dissimilarity measures. Int. J. Intell. Syst. Appl. 9(5), 55\u201361 (2017). https:\/\/doi.org\/10.5815\/ijisa.2017.05.07","journal-title":"Int. J. Intell. Syst. Appl."},{"key":"9_CR32","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1016\/j.jocn.2019.07.082","volume":"68","author":"L-C Huang","year":"2019","unstructured":"Huang, L.-C., Wu, P.-A., Lin, S.-Z., Pang, C.-Y., Chen, S.-Y.: Graph theory and network topological metrics may be the potential biomarker in Parkinson\u2019s disease. J. Clin. Neurosci. 68, 235\u2013242 (2019). https:\/\/doi.org\/10.1016\/j.jocn.2019.07.082","journal-title":"J. Clin. Neurosci."},{"doi-asserted-by":"publisher","unstructured":"Assenov, Y., Ram\u00edrez, F., Schelhorn, S.-E.Sven-Eric, Lengauer, T., Albrecht, M.: Computing topological parameters of biological networks. Bioinformatics, 24(2), 282\u2013284 (2008). https:\/\/doi.org\/10.1093\/bioinformatics\/btm554","key":"9_CR33","DOI":"10.1093\/bioinformatics\/btm554"},{"issue":"10","key":"9_CR34","first-page":"494","volume":"21","author":"J Harrington","year":"1965","unstructured":"Harrington, J.: The desirability function. Ind. Qual. Control 21(10), 494\u2013498 (1965)","journal-title":"Ind. Qual. Control"}],"container-title":["Advances in Intelligent Systems and Computing","Advances in Intelligent Systems and Computing V"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-63270-0_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,15]],"date-time":"2023-10-15T22:24:03Z","timestamp":1697408643000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-63270-0_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,23]]},"ISBN":["9783030632694","9783030632700"],"references-count":34,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-63270-0_9","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2020,12,23]]},"assertion":[{"value":"23 December 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CSIT","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Conference on Computer Science and Information Technologies","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Zbarazh","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ukraine","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":"23 September 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 September 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"V","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"csit2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/csit.lp.edu.ua","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}