{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T11:24:59Z","timestamp":1769081099402,"version":"3.49.0"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031716188","type":"print"},{"value":"9783031716195","type":"electronic"}],"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\/978-3-031-71619-5_5","type":"book-chapter","created":{"date-parts":[[2024,10,12]],"date-time":"2024-10-12T05:02:05Z","timestamp":1728709325000},"page":"42-52","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Lung Cancer Stages Classification Based on Differential Gene Expression and Deep Learning"],"prefix":"10.1007","author":[{"given":"Moshira S.","family":"Ghaleb","sequence":"first","affiliation":[]},{"given":"Maryam N.","family":"Al-Berry","sequence":"additional","affiliation":[]},{"given":"Hala M.","family":"Ebied","sequence":"additional","affiliation":[]},{"given":"Mohamed F.","family":"Tolba","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,10,13]]},"reference":[{"key":"5_CR1","doi-asserted-by":"crossref","unstructured":"Weinstein, J.N., Collisson, E.A., Mills, G.B., Shaw, K.R.M., Ozenberger, B.A., Ellrott, K., et al.: The cancer genome atlas pancancer analysis project. Nat. Genet. 45(10), 1113 (2013)","DOI":"10.1038\/ng.2764"},{"key":"5_CR2","doi-asserted-by":"crossref","unstructured":"Grossman, R.L., Heath, A.P., Ferretti, V., Varmus, H.E., Lowy, D.R., Kibbe, W.A., et al.: Toward a shared vision for cancer genomic data. N. Engl. J. Med. 375(12), 1109\u20131112 (2016)","DOI":"10.1056\/NEJMp1607591"},{"issue":"2","key":"5_CR3","doi-asserted-by":"publisher","first-page":"61","DOI":"10.3390\/jpm11020061","volume":"11","author":"J Wu","year":"2021","unstructured":"Wu, J., Hicks, C.: Breast cancer type classification using machine learning. J. Pers. Med. 11(2), 61 (2021). https:\/\/doi.org\/10.3390\/jpm11020061","journal-title":"J. Pers. Med."},{"key":"5_CR4","doi-asserted-by":"publisher","unstructured":"Ghaleb, M.S., Ebied, H.M., Tolba, M.F.: Lung cancer stages classification based on differential gene expression. In: The 3rd International Conference on Artificial Intelligence and Computer Vision (AICV2023), vol. 164, March 5\u20137, 2023. AICV 2023. Springer, Cham. https:\/\/doi.org\/10.1007\/978-3-031-27762-7_26","DOI":"10.1007\/978-3-031-27762-7_26"},{"key":"5_CR5","doi-asserted-by":"publisher","unstructured":"Chen, J.W., Dhahbi, J.: Lung adenocarcinoma and lung squamous cell carcinoma cancer classification, biomarker identification, and gene expression analysis using overlapping feature selection methods. Sci. Rep. 11, 13323 (2021). https:\/\/doi.org\/10.1038\/s41598-021-92725-8","DOI":"10.1038\/s41598-021-92725-8"},{"key":"5_CR6","doi-asserted-by":"publisher","first-page":"e47","DOI":"10.1093\/nar\/gkv007","volume":"43","author":"ME Ritchie","year":"2015","unstructured":"Ritchie, M.E., Phipson, B., Wu, D.: Limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res. 43, e47 (2015)","journal-title":"Nucleic Acids Res."},{"key":"5_CR7","doi-asserted-by":"publisher","first-page":"209","DOI":"10.3322\/caac.21660","volume":"71","author":"H Sung","year":"2021","unstructured":"Sung, H., Ferlay, J., Siegel, R.L., Laversanne, M., Soerjomataram, I., Jemal, A., et al.: Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin. 71, 209\u2013249 (2021)","journal-title":"CA Cancer J. Clin."},{"key":"5_CR8","doi-asserted-by":"crossref","unstructured":"Xiao, Y., Wu, J., Lin, Z., Zhao, X.: A semi-supervised deep learning method based on stacked sparse auto-encoder for cancer prediction using RNA-seq data. Comput. Methods Programs Biomed. 166, 99\u2013105 (2018)","DOI":"10.1016\/j.cmpb.2018.10.004"},{"key":"5_CR9","unstructured":"Organization WH. World Cancer Report (2014)"},{"key":"5_CR10","unstructured":"UK CR.: Types of lung cancer. https:\/\/ www.cance rrese archuk.org\/about-cancer\/lung-cancer\/stages-typesgrades\/types"},{"key":"5_CR11","doi-asserted-by":"crossref","unstructured":"Khattak, A., Asghar, M.Z., Ishaq, Z., Bangyal, W.H., Hameed, A.I.: Enhanced concept-level sentiment analysis system with expanded ontological relations for efficient classification of user reviews. Egypt. Inform. J. 22, 455\u2013471 (2021)","DOI":"10.1016\/j.eij.2021.03.001"},{"key":"5_CR12","doi-asserted-by":"crossref","unstructured":"Ghaleb M.S., Ebied H.M., Shedeed H.A., Tolba M.F.: Image retrieval based on deep learning. J. Syst. Manage. Sci. JSMS, Q3, indexed in Scopus (2022)","DOI":"10.1109\/ICICIS52592.2021.9694146"},{"key":"5_CR13","doi-asserted-by":"crossref","unstructured":"Ghaleb, M.S., Ebied, H.M., Shedeed, H.A., Tolba, M.F.: Content based image retrieval using fused convolution neural network. In: The 8th International Conference on Advanced Intelligent Systems and Informatics (AISI2022) (2022)","DOI":"10.1007\/978-3-031-20601-6_24"},{"key":"5_CR14","doi-asserted-by":"crossref","unstructured":"Ghaleb, M.S., Ebied, H.M., Shedeed, H.A., Tolba, M.F.: Content based image retrieval based on convolutional Neural Network. In: tenth International Conference on Intelligent Computing and Information science (ICICS), pp. 149\u2013153, Cairo, Egypt (2021)","DOI":"10.1109\/ICICIS52592.2021.9694146"},{"key":"5_CR15","doi-asserted-by":"crossref","unstructured":"Ghaleb, M.S., Ebied, H.M., Shedeed, H.A., Tolba, M.F.: COVID-19 X-rays model detection using convolution neural network. In: International Conference on Artificial Intelligence and Computer Vision (AICV2021), Springer International Publishing, pp. 3\u201311, Morocco (2021)","DOI":"10.1007\/978-3-030-76346-6_1"},{"key":"5_CR16","unstructured":"Graham, S., Shaban, M., Qaiser, T., Koohbanani, N.A., Khurram, S.A., Rajpoot, N.: Classification of lung cancer histology images using patch-level summary statistics. In: Medical Imaging: Digital Pathology, vol. 10581, p. 1058119. International Society for Optics and Photonics (2018)"},{"key":"5_CR17","unstructured":"Li, Z., Hu, Z., Xu, J., Tan, T., Chen, H., Duan, Z., et al.: Computer-aided diagnosis of lung carcinoma using deep learning-a pilot study. arXiv preprint arXiv: 18030 5471 (2018)"},{"key":"5_CR18","doi-asserted-by":"publisher","first-page":"1850","DOI":"10.3390\/app12041850","volume":"12","author":"L Rukhsar","year":"2022","unstructured":"Rukhsar, L., Bangyal, W.H., Ali Khan, M.S., Ag Ibrahim, A.A., Nisar, K., Rawat, D.B.: Analyzing RNA-Seq gene expression data using deep learning approaches for cancer classification. Appl. Sci. 12, 1850 (2022)","journal-title":"Appl. Sci."},{"key":"5_CR19","doi-asserted-by":"crossref","unstructured":"Ghaleb, M.S., Ebied, H.M., Tolba, M.F.: Bladder Cancer Microarray Analysis and Biomarker Discovery Using Machine Learning. AISI2023, Springer (2023)","DOI":"10.1007\/978-3-031-43247-7_25"},{"key":"5_CR20","unstructured":"TCGA-LUAD. https:\/\/portal.gdc.cancer.gov\/projects\/TCGA-LUAD"},{"key":"5_CR21","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1093\/nar\/28.1.27","volume":"28","author":"M Kanehisa","year":"2000","unstructured":"Kanehisa, M., Goto, S.: KEGG: Kyoto encyclopedia of genes and genomes. Nucleic Acids Res. 28, 27\u201330 (2000)","journal-title":"Nucleic Acids Res."},{"key":"5_CR22","doi-asserted-by":"publisher","first-page":"D587","DOI":"10.1093\/nar\/gkac963","volume":"51","author":"M Kanehisa","year":"2023","unstructured":"Kanehisa, M., Furumichi, M., Sato, Y., Kawashima, M., Ishiguro-Watanabe, M.: KEGG for taxonomy-based analysis of pathways and genomes. Nucleic Acids Res. 51, D587\u2013D592 (2023)","journal-title":"Nucleic Acids Res."},{"issue":"1","key":"5_CR23","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1038\/75556","volume":"25","author":"Ashburner","year":"2000","unstructured":"Ashburner, et al.: Gene ontology: tool for the unification of biology. Nat. Genet. 25(1), 25\u201329 (2000). https:\/\/doi.org\/10.1038\/75556","journal-title":"Nat. Genet."}],"container-title":["Lecture Notes on Data Engineering and Communications Technologies","Proceedings of the 10th International Conference on Advanced Intelligent Systems and Informatics 2024"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-71619-5_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,12]],"date-time":"2024-10-12T05:03:14Z","timestamp":1728709394000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-71619-5_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031716188","9783031716195"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-71619-5_5","relation":{},"ISSN":["2367-4512","2367-4520"],"issn-type":[{"value":"2367-4512","type":"print"},{"value":"2367-4520","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"13 October 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AISI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Intelligent Systems and Informatics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cairo","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Egypt","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":"20 July 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 July 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aisi2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/egyptscience.net\/AISI24\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}