{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T19:40:02Z","timestamp":1755891602397,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":26,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,1,13]],"date-time":"2023-01-13T00:00:00Z","timestamp":1673568000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,1,13]]},"DOI":"10.1145\/3586139.3586141","type":"proceedings-article","created":{"date-parts":[[2023,8,9]],"date-time":"2023-08-09T18:23:21Z","timestamp":1691605401000},"page":"10-16","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Efficient Feature Selection based on Soft Cluster Analysis for Biological Datasets"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2050-0032","authenticated-orcid":false,"given":"Hung-Yi","family":"Lin","sequence":"first","affiliation":[{"name":"National Taichung University of Science and Technology, Taiwan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1560-2488","authenticated-orcid":false,"given":"Ting-Han","family":"Lin","sequence":"additional","affiliation":[{"name":"Taipei Medical University, Taiwan"}]}],"member":"320","published-online":{"date-parts":[[2023,8,9]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM.2018.8621108"},{"key":"e_1_3_2_1_2_1","volume-title":"Predicting the sequence specificities of DNA- and RNA- binding proteins by deep learning. Nature Biotechnology","author":"Alipanahi B.","year":"2015","unstructured":"Alipanahi, B., Delong, A., Weirauch, M. T., and Frey, B. J. (2015). Predicting the sequence specificities of DNA- and RNA- binding proteins by deep learning. Nature Biotechnology."},{"volume-title":"Using mutual information for selecting features in supervised neural net learning","author":"Battiti R.","key":"e_1_3_2_1_3_1","unstructured":"Battiti, R., Using mutual information for selecting features in supervised neural net learning,\u201d IEEE Transactions on Neural Networks, vol. 5, no. 4, pp. 537\u2013550, Jul. 1994."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-0450-1"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1080\/01969727308546046"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2015.08.018"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.02.020"},{"key":"e_1_3_2_1_8_1","first-page":"1157","volume-title":"Journal of Machine Learning Research, 3","author":"Guyon I.","year":"2003","unstructured":"Guyon, I. & Elisseeff, A, An introduction to variable and feature selection, Journal of Machine Learning Research, 3, pp.1157-1182, 2003."},{"volume-title":"Input feature selection for classification problems","author":"Kwak N.","key":"e_1_3_2_1_9_1","unstructured":"Kwak, N. & Choi, C.-H., Input feature selection for classification problems, IEEE Transactions on Neural Networks, vol. 3, no. 1, pp.143\u2013159, Jan. 2002."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2017.11.036"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2012.02.014"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.11.001"},{"key":"e_1_3_2_1_13_1","volume-title":"Survey on multiclass classification methods","author":"Mehra N.","year":"2013","unstructured":"Mehra, N., & Gupta, S. (2013). Survey on multiclass classification methods."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2855437"},{"key":"e_1_3_2_1_15_1","volume-title":"Convolutional neural network models for cancer type prediction based on gene expression. BMC medical genomics, 13(5), 1-13","author":"Mostavi M.","year":"2020","unstructured":"Mostavi, M., Chiu, Y. C., Huang, Y., & Chen, Y. (2020). Convolutional neural network models for cancer type prediction based on gene expression. BMC medical genomics, 13(5), 1-13."},{"key":"e_1_3_2_1_16_1","volume-title":"Validity index for crisp and fuzzy clusters. Pattern recognition, 37(3), 487-501","author":"Pakhira M. K.","year":"2004","unstructured":"Pakhira, M. K., Bandyopadhyay, S., & Maulik, U. (2004). Validity index for crisp and fuzzy clusters. Pattern recognition, 37(3), 487-501."},{"key":"e_1_3_2_1_17_1","article-title":"Elephant search optimization combined with deep neural network for microarray data analysis","author":"Panda M.","year":"2017","unstructured":"Panda, M. (2017). Elephant search optimization combined with deep neural network for microarray data analysis. Journal of King Saud University-Computer and Information Sciences.","journal-title":"Journal of King Saud University-Computer and Information Sciences."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2005.159"},{"key":"e_1_3_2_1_19_1","volume-title":"Classification of cancer types using graph convolutional neural networks. Frontiers in physics, 8, 203","author":"Ramirez R.","year":"2020","unstructured":"Ramirez, R., Chiu, Y. C., Hererra, A., Mostavi, M., Ramirez, J., Chen, Y., ... & Jin, Y. F. (2020). Classification of cancer types using graph convolutional neural networks. Frontiers in physics, 8, 203."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2011.101"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2650906"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2004.11.022"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1038\/nmeth.3547"},{"key":"e_1_3_2_1_24_1","volume-title":"Cancer Program Data Sets","author":"Broad Institute","year":"2018","unstructured":"Broad Institute (2018) Cancer Program Data Sets. http:\/\/www.broadinstitute.org\/cgi-bin\/cancer\/datasets.cgi."},{"key":"e_1_3_2_1_25_1","volume-title":"https:\/\/jundongl.github.io\/scikit-feature\/datasets.html","author":"Feature Selection Datasets at Arizona State University","year":"2018","unstructured":"Feature Selection Datasets at Arizona State University (2018). https:\/\/jundongl.github.io\/scikit-feature\/datasets.html."},{"key":"e_1_3_2_1_26_1","unstructured":"Knowledge Extraction based on Evolutionary Learning. https:\/\/sci2s.ugr.es\/keel\/category.php?cat=clas"}],"event":{"name":"ICBBB 2023: 12th International Conference on Bioscience, Biochemistry and Bioinformatics","acronym":"ICBBB 2023","location":"Tokyo Japan"},"container-title":["Proceedings of the 12th International Conference on Bioscience Biochemistry and Bioinformatics"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3586139.3586141","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3586139.3586141","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T19:11:03Z","timestamp":1755889863000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3586139.3586141"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1,13]]},"references-count":26,"alternative-id":["10.1145\/3586139.3586141","10.1145\/3586139"],"URL":"https:\/\/doi.org\/10.1145\/3586139.3586141","relation":{},"subject":[],"published":{"date-parts":[[2023,1,13]]},"assertion":[{"value":"2023-08-09","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}