{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T11:44:48Z","timestamp":1763466288126,"version":"3.45.0"},"publisher-location":"Cham","reference-count":41,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032084545","type":"print"},{"value":"9783032084552","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,11,19]],"date-time":"2025-11-19T00:00:00Z","timestamp":1763510400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,11,19]],"date-time":"2025-11-19T00:00:00Z","timestamp":1763510400000},"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":[[2026]]},"DOI":"10.1007\/978-3-032-08455-2_16","type":"book-chapter","created":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T11:42:41Z","timestamp":1763466161000},"page":"209-219","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["ScRNA-Seq Protocols Detection of\u00a0Gene Expression May Decline After a\u00a0While from\u00a0Onset"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4030-6648","authenticated-orcid":false,"given":"Omar","family":"Alaqeeli","sequence":"first","affiliation":[]},{"given":"Raad","family":"Alturki","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,11,19]]},"reference":[{"issue":"1","key":"16_CR1","doi-asserted-by":"publisher","first-page":"2379837","DOI":"10.1080\/13102818.2024.2379837","volume":"38","author":"O Alaqeeli","year":"2024","unstructured":"Alaqeeli, O.: A comparison of dropout rate of three commonly used single cell RNA-sequencing protocols. Biotechnol. Biotechnol. Equip. 38(1), 2379837 (2024). https:\/\/doi.org\/10.1080\/13102818.2024.2379837","journal-title":"Biotechnol. Biotechnol. Equip."},{"key":"16_CR2","doi-asserted-by":"publisher","unstructured":"Alaqeeli, O., Alturki, R.: Evaluating the performance of the generalized linear model (GLM) R package using single-cell RNA-sequencing data. Appl. Sci. 13(20) (2023). https:\/\/doi.org\/10.3390\/app132011512","DOI":"10.3390\/app132011512"},{"issue":"5","key":"16_CR3","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1111\/boc.201600078","volume":"109","author":"C Alibert","year":"2017","unstructured":"Alibert, C., Goud, B., Manneville, J.B.: Are cancer cells really softer than normal cells? Biol. Cell 109(5), 167\u2013189 (2017). https:\/\/doi.org\/10.1111\/boc.201600078","journal-title":"Biol. Cell"},{"issue":"1","key":"16_CR4","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1038\/nrc.2017.99","volume":"18","author":"E Anastasiadou","year":"2018","unstructured":"Anastasiadou, E., Jacob, L.S., Slack, F.J.: Non-coding RNA networks in cancer. Nat. Rev. Canc. 18(1), 5\u201318 (2018). https:\/\/doi.org\/10.1038\/nrc.2017.99","journal-title":"Nat. Rev. Canc."},{"issue":"3\u20134","key":"16_CR5","doi-asserted-by":"publisher","first-page":"533","DOI":"10.1002\/elps.1150180333","volume":"18","author":"L Anderson","year":"1997","unstructured":"Anderson, L., Seilhamer, J.: A comparison of selected mRNA and protein abundances in human liver. Electrophoresis 18(3\u20134), 533\u2013537 (1997). https:\/\/doi.org\/10.1002\/elps.1150180333","journal-title":"Electrophoresis"},{"issue":"1","key":"16_CR6","doi-asserted-by":"publisher","first-page":"1519104","DOI":"10.1155\/2022\/1519104","volume":"2022","author":"L Artiukh","year":"2022","unstructured":"Artiukh, L., Povnitsa, O., Zahorodnia, S., Pop, C.V., Rizun, N.: Effect of coated silver nanoparticles on cancerous vs. healthy cells. J. Toxicol. 2022(1), 1519104 (2022). https:\/\/doi.org\/10.1155\/2022\/1519104","journal-title":"J. Toxicol."},{"issue":"6","key":"16_CR7","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1038\/s41568-020-0253-2","volume":"20","author":"I Barbieri","year":"2020","unstructured":"Barbieri, I., Kouzarides, T.: Role of RNA modifications in cancer. Nat. Rev. Canc. 20(6), 303\u2013322 (2020). https:\/\/doi.org\/10.1038\/s41568-020-0253-2","journal-title":"Nat. Rev. Canc."},{"issue":"15","key":"16_CR8","doi-asserted-by":"publisher","first-page":"3965","DOI":"10.1158\/0008-5472.CAN-16-2634","volume":"77","author":"A Bhan","year":"2017","unstructured":"Bhan, A., Soleimani, M., Mandal, S.S.: Long noncoding RNA and cancer: a new paradigm. Canc. Res. 77(15), 3965\u20133981 (2017). https:\/\/doi.org\/10.1158\/0008-5472.CAN-16-2634","journal-title":"Canc. Res."},{"issue":"2\u20133","key":"16_CR9","doi-asserted-by":"publisher","first-page":"258","DOI":"10.1002\/em.20115","volume":"45","author":"S Bonassi","year":"2005","unstructured":"Bonassi, S., Ugolini, D., Kirsch-Volders, M., Str\u00f6mberg, U., Vermeulen, R., Tucker, J.D.: Human population studies with cytogenetic biomarkers: review of the literature and future prospectives. Environ. Mol. Mutagenesis 45(2\u20133), 258\u2013270 (2005). https:\/\/doi.org\/10.1002\/em.20115","journal-title":"Environ. Mol. Mutagenesis"},{"issue":"12","key":"16_CR10","doi-asserted-by":"publisher","first-page":"919","DOI":"10.1038\/35103511","volume":"2","author":"SR Eddy","year":"2001","unstructured":"Eddy, S.R.: Non-coding RNA genes and the modern RNA world. Nat. Rev. Genetics 2(12), 919\u2013929 (2001). https:\/\/doi.org\/10.1038\/35103511","journal-title":"Nat. Rev. Genetics"},{"issue":"12","key":"16_CR11","doi-asserted-by":"publisher","first-page":"861","DOI":"10.1038\/nrg3074","volume":"12","author":"M Esteller","year":"2011","unstructured":"Esteller, M.: Non-coding RNAs in human disease. Nat. Rev. Genetics 12(12), 861\u2013874 (2011). https:\/\/doi.org\/10.1038\/nrg3074","journal-title":"Nat. Rev. Genetics"},{"issue":"8","key":"16_CR12","doi-asserted-by":"publisher","first-page":"763","DOI":"10.1038\/nbt.2325","volume":"30","author":"JJ Goetz","year":"2012","unstructured":"Goetz, J.J., Trimarchi, J.M.: Transcriptome sequencing of single cells with smart-seq. Nat. Biotechnol. 30(8), 763\u2013765 (2012). https:\/\/doi.org\/10.1038\/nbt.2325","journal-title":"Nat. Biotechnol."},{"issue":"13","key":"16_CR13","doi-asserted-by":"publisher","first-page":"1628","DOI":"10.1093\/bioinformatics\/btg206","volume":"19","author":"X Guo","year":"2003","unstructured":"Guo, X., Qi, H., Verfaillie, C.M., Pan, W.: Statistical significance analysis of longitudinal gene expression data. Bioinformatics 19(13), 1628\u20131635 (2003). https:\/\/doi.org\/10.1093\/bioinformatics\/btg206","journal-title":"Bioinformatics"},{"key":"16_CR14","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1016\/j.semcancer.2020.11.007","volume":"75","author":"X Han","year":"2021","unstructured":"Han, X., Wang, M., Zhao, Y.L., Yang, Y., Yang, Y.G.: RNA methylations in human cancers, noncoding RNAs in human cancer. Seminars Canc. Biol. 75, 97\u2013115 (2021). https:\/\/doi.org\/10.1016\/j.semcancer.2020.11.007","journal-title":"Seminars Canc. Biol."},{"issue":"1","key":"16_CR15","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1186\/s13073-017-0467-4","volume":"9","author":"A Haque","year":"2017","unstructured":"Haque, A., Engel, J., Teichmann, S.A., L\u00f6nnberg, T.: A practical guide to single-cell RNA-sequencing for biomedical research and clinical applications. Genome Med. 9(1), 75 (2017). https:\/\/doi.org\/10.1186\/s13073-017-0467-4","journal-title":"Genome Med."},{"key":"16_CR16","doi-asserted-by":"publisher","unstructured":"Hu, Z., Zu, S., Liu, J.S.: SIMPLEs: a single-cell RNA sequencing imputation strategy preserving gene modules and cell clusters variation. NAR Genomics Bioinf. 2(4), lqaa077 (2020). https:\/\/doi.org\/10.1093\/nargab\/lqaa077","DOI":"10.1093\/nargab\/lqaa077"},{"issue":"1","key":"16_CR17","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1146\/annurev-genom-090413-025352","volume":"16","author":"L Huang","year":"2015","unstructured":"Huang, L., Ma, F., Chapman, A., Lu, S., Xie, X.S.: Single-cell whole-genome amplification and sequencing: methodology and applications. Ann. Rev. Genomics Hum. Genetics 16(1), 79\u2013102 (2015). https:\/\/doi.org\/10.1146\/annurev-genom-090413-025352","journal-title":"Ann. Rev. Genomics Hum. Genetics"},{"issue":"4","key":"16_CR18","doi-asserted-by":"publisher","first-page":"1133","DOI":"10.1158\/1078-0432.CCR-06-1025","volume":"13","author":"HL Jia","year":"2007","unstructured":"Jia, H.L., et al.: Gene expression profiling reveals potential biomarkers of human hepatocellular carcinoma. Clin. Canc. Res. 13(4), 1133\u20131139 (2007). https:\/\/doi.org\/10.1158\/1078-0432.CCR-06-1025","journal-title":"Clin. Canc. Res."},{"issue":"12","key":"16_CR19","doi-asserted-by":"publisher","first-page":"3222","DOI":"10.1093\/bioinformatics\/btac300","volume":"38","author":"K Jin","year":"2022","unstructured":"Jin, K., Li, B., Yan, H., Zhang, X.F.: Imputing dropouts for single-cell RNA sequencing based on multi-objective optimization. Bioinformatics 38(12), 3222\u20133230 (2022). https:\/\/doi.org\/10.1093\/bioinformatics\/btac300","journal-title":"Bioinformatics"},{"issue":"3","key":"16_CR20","doi-asserted-by":"publisher","first-page":"e694","DOI":"10.1002\/ctm2.694","volume":"12","author":"D Jovic","year":"2022","unstructured":"Jovic, D., Liang, X., Zeng, H., Lin, L., Xu, F., Luo, Y.: Single-cell RNA sequencing technologies and applications: a brief overview. Clin. Transl. Med. 12(3), e694 (2022). https:\/\/doi.org\/10.1002\/ctm2.694","journal-title":"Clin. Transl. Med."},{"issue":"04","key":"16_CR21","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1097\/JBR.0000000000000053","volume":"02","author":"G Li","year":"2019","unstructured":"Li, G., Yang, Y., Buren, E.V., Li, Y.: Dropout imputation and batch effect correction for single-cell RNA sequencing data. J. Bio-X Res. 02(04), 169\u2013177 (2019). https:\/\/doi.org\/10.1097\/JBR.0000000000000053","journal-title":"J. Bio-X Res."},{"key":"16_CR22","doi-asserted-by":"publisher","unstructured":"Liu, Y., Zhang, J., Wang, S., Zeng, X., Zhang, W.: Are dropout imputation methods for scRNA-seq effective for scATAC-seq data? Brief. Bioinf. 23(1), bbab442 (2021). https:\/\/doi.org\/10.1093\/bib\/bbab442","DOI":"10.1093\/bib\/bbab442"},{"issue":"16","key":"16_CR23","doi-asserted-by":"publisher","first-page":"3719","DOI":"10.1093\/hmg\/dds186","volume":"21","author":"A Lourdusamy","year":"2012","unstructured":"Lourdusamy, A., et al.: Identification of cis-regulatory variation influencing protein abundance levels in human plasma. Hum. Mol. Genetics 21(16), 3719\u20133726 (2012). https:\/\/doi.org\/10.1093\/hmg\/dds186","journal-title":"Hum. Mol. Genetics"},{"key":"16_CR24","doi-asserted-by":"publisher","unstructured":"Lu, T., et al.: Overcoming expressional drop-outs in lineage reconstruction from single-cell RNA-sequencing data. Cell Rep. 34(1), 108589. https:\/\/doi.org\/10.1016\/j.celrep.2020.108589","DOI":"10.1016\/j.celrep.2020.108589"},{"issue":"1","key":"16_CR25","doi-asserted-by":"publisher","first-page":"e57","DOI":"10.1002\/cpmb.57","volume":"122","author":"TK Olsen","year":"2018","unstructured":"Olsen, T.K., Baryawno, N.: Introduction to single-cell RNA sequencing. Curr. Protocols Mol. Biol. 122(1), e57 (2018). https:\/\/doi.org\/10.1002\/cpmb.57","journal-title":"Curr. Protocols Mol. Biol."},{"issue":"5","key":"16_CR26","doi-asserted-by":"publisher","first-page":"637","DOI":"10.1080\/15476286.2016.1201618","volume":"14","author":"S Picelli","year":"2017","unstructured":"Picelli, S.: Single-cell RNA-sequencing: the future of genome biology is now. RNA Biol. 14(5), 637\u2013650 (2017). https:\/\/doi.org\/10.1080\/15476286.2016.1201618","journal-title":"RNA Biol."},{"issue":"1","key":"16_CR27","doi-asserted-by":"publisher","first-page":"1169","DOI":"10.1038\/s41467-020-14976-9","volume":"11","author":"P Qiu","year":"2020","unstructured":"Qiu, P.: Embracing the dropouts in single-cell RNA-Seq analysis. Nat. Commun. 11(1), 1169 (2020). https:\/\/doi.org\/10.1038\/s41467-020-14976-9","journal-title":"Nat. Commun."},{"key":"16_CR28","doi-asserted-by":"publisher","unstructured":"Qu, H.Q., Tien, M., Polychronakos, C.: Statistical significance in genetic association studies. Clin. Investigative Med. 33(5), E266\u2013E270 (2010). https:\/\/doi.org\/10.25011\/cim.v33i5.14351","DOI":"10.25011\/cim.v33i5.14351"},{"issue":"4","key":"16_CR29","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1038\/nmeth.4612","volume":"15","author":"C Soneson","year":"2018","unstructured":"Soneson, C., Robinson, M.D.: Bias, robustness and scalability in single-cell differential expression analysis. Nat. Methods 15(4), 255\u2013261 (2018). https:\/\/doi.org\/10.1038\/nmeth.4612","journal-title":"Nat. Methods"},{"issue":"16","key":"16_CR30","doi-asserted-by":"publisher","first-page":"9440","DOI":"10.1073\/pnas.1530509100","volume":"100","author":"JD Storey","year":"2003","unstructured":"Storey, J.D., Tibshirani, R.: Statistical significance for genomewide studies. Proce. Nat. Acad. Sci. 100(16), 9440\u20139445 (2003). https:\/\/doi.org\/10.1073\/pnas.1530509100","journal-title":"Proce. Nat. Acad. Sci."},{"issue":"2","key":"16_CR31","doi-asserted-by":"publisher","first-page":"126","DOI":"10.1002\/path.2638","volume":"220","author":"RJ Taft","year":"2010","unstructured":"Taft, R.J., Pang, K.C., Mercer, T.R., Dinger, M., Mattick, J.S.: Non-coding RNAs: regulators of disease. J. Pathol. 220(2), 126\u2013139 (2010). https:\/\/doi.org\/10.1002\/path.2638","journal-title":"J. Pathol."},{"issue":"5","key":"16_CR32","doi-asserted-by":"publisher","first-page":"377","DOI":"10.1038\/nmeth.1315","volume":"6","author":"F Tang","year":"2009","unstructured":"Tang, F., et al.: mRNA-Seq whole-transcriptome analysis of a single cell. Nat. Methods 6(5), 377\u2013382 (2009). https:\/\/doi.org\/10.1038\/nmeth.1315","journal-title":"Nat. Methods"},{"issue":"1","key":"16_CR33","doi-asserted-by":"publisher","first-page":"388","DOI":"10.1186\/s12859-019-2977-0","volume":"20","author":"S Tracy","year":"2019","unstructured":"Tracy, S., Yuan, G.C., Dries, R.: Rescue: imputing dropout events in single-cell RNA-sequencing data. BMC Bioinf. 20(1), 388 (2019). https:\/\/doi.org\/10.1186\/s12859-019-2977-0","journal-title":"BMC Bioinf."},{"issue":"1","key":"16_CR34","doi-asserted-by":"publisher","first-page":"2697","DOI":"10.1038\/s41598-022-06500-4","volume":"12","author":"D Tran","year":"2022","unstructured":"Tran, D., Tran, B., Nguyen, H., Nguyen, T.: A novel method for single-cell data imputation using subspace regression. Sci. Rep. 12(1), 2697 (2022). https:\/\/doi.org\/10.1038\/s41598-022-06500-4","journal-title":"Sci. Rep."},{"issue":"16","key":"16_CR35","doi-asserted-by":"publisher","first-page":"e93","DOI":"10.1093\/nar\/gkz535","volume":"47","author":"K Verboom","year":"2019","unstructured":"Verboom, K., et al.: SMARTer single cell total RNA sequencing. Nucl. Acids Res. 47(16), e93\u2013e93 (2019). https:\/\/doi.org\/10.1093\/nar\/gkz535","journal-title":"Nucl. Acids Res."},{"issue":"1","key":"16_CR36","doi-asserted-by":"publisher","first-page":"400","DOI":"10.1038\/msb.2010.59","volume":"6","author":"C Vogel","year":"2010","unstructured":"Vogel, C., et al.: Sequence signatures and mRNA concentration can explain two-thirds of protein abundance variation in a human cell line. Mol. Syst. Biol. 6(1), 400 (2010). https:\/\/doi.org\/10.1038\/msb.2010.59","journal-title":"Mol. Syst. Biol."},{"issue":"1","key":"16_CR37","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1038\/nmeth.2694","volume":"11","author":"AR Wu","year":"2014","unstructured":"Wu, A.R., et al.: Quantitative assessment of single-cell RNA-sequencing methods. Nat. Methods 11(1), 41\u201346 (2014). https:\/\/doi.org\/10.1038\/nmeth.2694","journal-title":"Nat. Methods"},{"issue":"7456","key":"16_CR38","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1038\/nature12223","volume":"499","author":"L Wu","year":"2013","unstructured":"Wu, L., et al.: Variation and genetic control of protein abundance in humans. Nature 499(7456), 79\u201382 (2013). https:\/\/doi.org\/10.1038\/nature12223","journal-title":"Nature"},{"key":"16_CR39","doi-asserted-by":"publisher","unstructured":"Yang, J.X., Rastetter, R.H., Wilhelm, D.: Non-Coding RNAs: An Introduction, pp. 13\u201332. Springer, Netherlands, Dordrecht (2016). https:\/\/doi.org\/10.1007\/978-94-017-7417-8_2","DOI":"10.1007\/978-94-017-7417-8_2"},{"key":"16_CR40","doi-asserted-by":"publisher","unstructured":"Zhang, Z., Cui, F., Wang, C., Zhao, L., Zou, Q.: Goals and approaches for each processing step for single-cell RNA sequencing data. Brief. Bioinf. 22(4), bbaa314 (2020). https:\/\/doi.org\/10.1093\/bib\/bbaa314","DOI":"10.1093\/bib\/bbaa314"},{"issue":"6","key":"16_CR41","doi-asserted-by":"publisher","first-page":"1739","DOI":"10.1086\/512072","volume":"64","author":"LP Zhao","year":"1999","unstructured":"Zhao, L.P., Prentice, R., Shen, F., Hsu, L.: On the assessment of statistical significance in disease-gene discovery. Am. J. Hum. Genetics 64(6), 1739\u20131753 (1999). https:\/\/doi.org\/10.1086\/512072","journal-title":"Am. J. Hum. Genetics"}],"container-title":["Lecture Notes in Computer Science","Bioinformatics and Biomedical Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-08455-2_16","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T11:42:42Z","timestamp":1763466162000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-08455-2_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,19]]},"ISBN":["9783032084545","9783032084552"],"references-count":41,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-08455-2_16","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,11,19]]},"assertion":[{"value":"19 November 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"The first author has contributed to the conceptualization, design, analysis, implementation, and writing of this manuscript. The second author has contributed to the writing and editing of this manuscript.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Author Contributions Statement"}},{"value":"No conflict of interest in this research.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure Statement"}},{"value":"The datasets used in this study are imported from the project conquer that is available at\n                      \n                      . The algorithms used for processing the datasets and reproducing the results can be found at the author\u2019s GitHub account:\n                      \n                      .","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Data Availability Statement"}},{"value":"IWBBIO","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Work-Conference on Bioinformatics and Biomedical Engineering","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canaria","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 July 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 July 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iwbbio2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iwbbio.ugr.es","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}