{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T16:48:02Z","timestamp":1755794882461,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":55,"publisher":"ACM","funder":[{"DOI":"10.13039\/https:\/\/doi.org\/10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["2152030, 2246796, 2426340, 2416727, 2421864, 2421865, 2421803"],"award-info":[{"award-number":["2152030, 2246796, 2426340, 2416727, 2421864, 2421865, 2421803"]}],"id":[{"id":"10.13039\/https:\/\/doi.org\/10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,8,3]]},"DOI":"10.1145\/3711896.3737198","type":"proceedings-article","created":{"date-parts":[[2025,8,3]],"date-time":"2025-08-03T21:05:41Z","timestamp":1754255141000},"page":"4250-4260","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Biological Pathway Guided Gene Selection Through Collaborative Reinforcement Learning"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-9573-0353","authenticated-orcid":false,"given":"Ehtesamul","family":"Azim","sequence":"first","affiliation":[{"name":"University of Central Florida, Orlando, Florida, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3948-0059","authenticated-orcid":false,"given":"Dongjie","family":"Wang","sequence":"additional","affiliation":[{"name":"University of Kansas, Lawrence, Kansas, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6668-7269","authenticated-orcid":false,"given":"Tae Hyun","family":"Hwang","sequence":"additional","affiliation":[{"name":"Vanderbilt University Medical Center, Minneapolis, MN, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1767-8024","authenticated-orcid":false,"given":"Yanjie","family":"Fu","sequence":"additional","affiliation":[{"name":"Arizona State University, Tempe, Arizona, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3605-9373","authenticated-orcid":false,"given":"Wei","family":"Zhang","sequence":"additional","affiliation":[{"name":"University of Central Florida, Orlando, Florida, USA"}]}],"member":"320","published-online":{"date-parts":[[2025,8,3]]},"reference":[{"doi-asserted-by":"publisher","key":"e_1_3_2_2_1_1","DOI":"10.1093\/bioinformatics\/btab608"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_2_1","DOI":"10.1039\/D1MO00467K"},{"doi-asserted-by":"crossref","unstructured":"Michael Ashburner Catherine A Ball Judith A Blake David Botstein Heather Butler J Michael Cherry Allan P Davis Kara Dolinski Selina S Dwight Janan T Eppig et al. 2000. Gene ontology: tool for the unification of biology. Nature genetics Vol. 25 1 (2000) 25-29.","key":"e_1_3_2_2_3_1","DOI":"10.1038\/75556"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_4_1","DOI":"10.1137\/1.9781611978032.100"},{"unstructured":"Oluleye H Babatunde Leisa Armstrong Jinsong Leng and Dean Diepeveen. 2014. A genetic algorithm-based feature selection. (2014).","key":"e_1_3_2_2_5_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_6_1","DOI":"10.1016\/j.artint.2019.103216"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_7_1","DOI":"10.3390\/ijms231810220"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_8_1","DOI":"10.1097\/PAI.0000000000000349"},{"key":"e_1_3_2_2_9_1","first-page":"61","volume-title":"Nature","volume":"490","author":"Women's Brigham","year":"2012","unstructured":"Brigham & Women's Hospital and others. 2012. Comprehensive molecular portraits of human breast tumours. Nature, Vol. 490, 7418 (2012), 61-70."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_10_1","DOI":"10.1038\/ng.2764"},{"key":"e_1_3_2_2_11_1","volume-title":"Nature","volume":"511","author":"Atlas Research Network Cancer Genome","year":"2014","unstructured":"Cancer Genome Atlas Research Network. 2014. Comprehensive molecular profiling of lung adenocarcinoma. Nature, Vol. 511, 7511 (2014), 543."},{"key":"e_1_3_2_2_12_1","volume-title":"Nature","volume":"474","author":"Atlas Research Cancer Genome","year":"2011","unstructured":"Cancer Genome Atlas Research Network and others. 2011. Integrated genomic analyses of ovarian carcinoma. Nature, Vol. 474, 7353 (2011), 609."},{"key":"e_1_3_2_2_13_1","volume-title":"Network-based classification of breast cancer metastasis. Molecular systems biology","author":"Chuang Han-Yu","year":"2007","unstructured":"Han-Yu Chuang, Eunjung Lee, Yu-Tsueng Liu, Doheon Lee, and Trey Ideker. 2007. Network-based classification of breast cancer metastasis. Molecular systems biology, Vol. 3, 1 (2007), 140."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_14_1","DOI":"10.1016\/j.cirp.2020.04.005"},{"doi-asserted-by":"crossref","unstructured":"Aileen I Fernandez Matthew Liu Andrew Bellizzi Jane Brock Oluwole Fadare Krisztina Hanley Malini Harigopal Julie M Jorns M Gabriela Kuba Amy Ly et al. 2022. Examination of low ERBB2 protein expression in breast cancer tissue. JAMA oncology Vol. 8 4 (2022) 607-610.","key":"e_1_3_2_2_15_1","DOI":"10.1001\/jamaoncol.2021.7239"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_16_1","DOI":"10.1109\/ADPRL.2007.368171"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_17_1","DOI":"10.3390\/a15010021"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_18_1","DOI":"10.1016\/j.ygeno.2019.11.004"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_19_1","DOI":"10.1145\/3709011"},{"key":"e_1_3_2_2_20_1","volume-title":"Gene selection for cancer classification using support vector machines. Machine learning","author":"Guyon Isabelle","year":"2002","unstructured":"Isabelle Guyon, Jason Weston, Stephen Barnhill, and Vladimir Vapnik. 2002. Gene selection for cancer classification using support vector machines. Machine learning, Vol. 46 (2002), 389-422."},{"doi-asserted-by":"crossref","unstructured":"Ryan J Hartmaier Lee A Albacker Juliann Chmielecki Mark Bailey Jie He Michael E Goldberg Shakti Ramkissoon James Suh Julia A Elvin Samuel Chiacchia et al. 2017. High-throughput genomic profiling of adult solid tumors reveals novel insights into cancer pathogenesis. Cancer research Vol. 77 9 (2017) 2464-2475.","key":"e_1_3_2_2_21_1","DOI":"10.1158\/0008-5472.CAN-16-2479"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_22_1","DOI":"10.1007\/s13042-021-01347-z"},{"key":"e_1_3_2_2_23_1","volume-title":"Gabriele Migliorini, Nick Orr, Peter Broderick, Daniel Catovsky, Athena Matakidou, Timothy Eisen, Christy Goldsmith, Frank Dudbridge, et al.","author":"Johnson Nichola","year":"2016","unstructured":"Nichola Johnson, Paolo De Ieso, Gabriele Migliorini, Nick Orr, Peter Broderick, Daniel Catovsky, Athena Matakidou, Timothy Eisen, Christy Goldsmith, Frank Dudbridge, et al., 2016. Cytochrome P450 allele CYP3A7* 1C associates with adverse outcomes in chronic lymphocytic leukemia, breast, and lung cancer. Cancer research, Vol. 76, 6 (2016), 1485-1493."},{"key":"e_1_3_2_2_24_1","volume-title":"KEGG: kyoto encyclopedia of genes and genomes. Nucleic acids research","author":"Kanehisa Minoru","year":"2000","unstructured":"Minoru Kanehisa and Susumu Goto. 2000. KEGG: kyoto encyclopedia of genes and genomes. Nucleic acids research, Vol. 28, 1 (2000), 27-30."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_25_1","DOI":"10.18632\/aging.203345"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_26_1","DOI":"10.1093\/bioinformatics\/bty429"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_27_1","DOI":"10.3892\/ol.2016.4206"},{"key":"e_1_3_2_2_28_1","first-page":"1","article-title":"Lassonet: A neural network with feature sparsity","volume":"22","author":"Lemhadri Ismael","year":"2021","unstructured":"Ismael Lemhadri, Feng Ruan, Louis Abraham, and Robert Tibshirani. 2021. Lassonet: A neural network with feature sparsity. Journal of Machine Learning Research, Vol. 22, 127 (2021), 1-29.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_2_29_1","volume-title":"A comprehensive genomic pan-cancer classification using The Cancer Genome Atlas gene expression data. BMC genomics","author":"Li Yuanyuan","year":"2017","unstructured":"Yuanyuan Li, Kai Kang, Juno M Krahn, Nicole Croutwater, Kevin Lee, David M Umbach, and Leping Li. 2017. A comprehensive genomic pan-cancer classification using The Cancer Genome Atlas gene expression data. BMC genomics, Vol. 18 (2017), 1-13."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_30_1","DOI":"10.1145\/3292500.3330868"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_31_1","DOI":"10.1137\/1.9781611976700.36"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_32_1","DOI":"10.1038\/s41388-021-01826-1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_33_1","DOI":"10.1001\/jamanetworkopen.2024.53275"},{"key":"e_1_3_2_2_34_1","volume-title":"Yoonjung Choi, Kilsoo Kang, and Keunsoo Kang.","author":"Park Sungsoo","year":"2019","unstructured":"Sungsoo Park, Bonggun Shin, Won Sang Shim, Yoonjung Choi, Kilsoo Kang, and Keunsoo Kang. 2019. Wx: a neural network-based feature selection algorithm for transcriptomic data. Scientific reports, Vol. 9, 1 (2019), 10500."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_35_1","DOI":"10.1109\/TPAMI.2005.159"},{"unstructured":"Peng Peng Ying Wen Yaodong Yang Quan Yuan Zhenkun Tang Haitao Long and Jun Wang. 2017. Multiagent bidirectionally-coordinated nets: Emergence of human-level coordination in learning to play starcraft combat games. arXiv preprint arXiv:1703.10069(2017).","key":"e_1_3_2_2_36_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_37_1","DOI":"10.1073\/pnas.0900351106"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_38_1","DOI":"10.1016\/j.knosys.2016.11.017"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_39_1","DOI":"10.1016\/j.eswa.2019.04.056"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_40_1","DOI":"10.1371\/journal.pone.0172395"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_41_1","DOI":"10.1111\/j.2517-6161.1996.tb02080.x"},{"key":"e_1_3_2_2_42_1","volume-title":"Yudong D He, Augustinus AM Hart, Mao Mao, Hans L Peterse, Karin Van Der Kooy, Matthew J Marton, Anke T Witteveen, et al.","author":"Van't Veer Laura J","year":"2002","unstructured":"Laura J Van't Veer, Hongyue Dai, Marc J Van De Vijver, Yudong D He, Augustinus AM Hart, Mao Mao, Hans L Peterse, Karin Van Der Kooy, Matthew J Marton, Anke T Witteveen, et al., 2002. Gene expression profiling predicts clinical outcome of breast cancer. nature, Vol. 415, 6871 (2002), 530-536."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_43_1","DOI":"10.1158\/1541-7786.MCR-19-1033"},{"unstructured":"Xinyuan Wang Dongjie Wang Wangyang Ying Rui Xie Haifeng Chen and Yanjie Fu. 2024. Knockoff-Guided Feature Selection via A Single Pre-trained Reinforced Agent. arXiv preprint arXiv:2403.04015(2024).","key":"e_1_3_2_2_44_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_45_1","DOI":"10.1016\/S0140-6736(05)17947-1"},{"doi-asserted-by":"crossref","unstructured":"Meng Xiao Dongjie Wang Min Wu Pengfei Wang Yuanchun Zhou and Yanjie Fu. 2023. Beyond discrete selection: Continuous embedding space optimization for generative feature selection. arXiv preprint arXiv:2302.13221(2023).","key":"e_1_3_2_2_46_1","DOI":"10.1109\/ICDM58522.2023.00078"},{"key":"e_1_3_2_2_47_1","volume-title":"International conference on machine learning. PMLR, 5571-5580","author":"Yang Yaodong","year":"2018","unstructured":"Yaodong Yang, Rui Luo, Minne Li, Ming Zhou, Weinan Zhang, and Jun Wang. 2018. Mean field multi-agent reinforcement learning. In International conference on machine learning. PMLR, 5571-5580."},{"unstructured":"Yiming Yang Jan O Pedersen et al. 1997. A comparative study on feature selection in text categorization. In icml Vol. 97. Citeseer 35.","key":"e_1_3_2_2_48_1"},{"key":"e_1_3_2_2_49_1","volume-title":"Feature selection as deep sequential generative learning. ACM Transactions on Knowledge Discovery from Data","author":"Ying Wangyang","year":"2024","unstructured":"Wangyang Ying, Dongjie Wang, Haifeng Chen, and Yanjie Fu. 2024a. Feature selection as deep sequential generative learning. ACM Transactions on Knowledge Discovery from Data, Vol. 18, 9 (2024), 1-21."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_50_1","DOI":"10.1145\/3627673.3680041"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_51_1","DOI":"10.1016\/j.trc.2020.102861"},{"key":"e_1_3_2_2_52_1","volume-title":"Network-based machine learning and graph theory algorithms for precision oncology. NPJ precision oncology","author":"Zhang Wei","year":"2017","unstructured":"Wei Zhang, Jeremy Chien, Jeongsik Yong, and Rui Kuang. 2017. Network-based machine learning and graph theory algorithms for precision oncology. NPJ precision oncology, Vol. 1, 1 (2017), 25."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_53_1","DOI":"10.1145\/2382936.2382979"},{"key":"e_1_3_2_2_54_1","volume-title":"Robust biomarker discovery for hepatocellular carcinoma from high-throughput data by multiple feature selection methods. BMC medical genomics","author":"Zhang Zishuang","year":"2021","unstructured":"Zishuang Zhang and Zhi-Ping Liu. 2021. Robust biomarker discovery for hepatocellular carcinoma from high-throughput data by multiple feature selection methods. BMC medical genomics, Vol. 14 (2021), 1-12."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_55_1","DOI":"10.1109\/ICDM50108.2020.00096"}],"event":{"sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"],"acronym":"KDD '25","name":"KDD '25: The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining","location":"Toronto ON Canada"},"container-title":["Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3711896.3737198","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,16]],"date-time":"2025-08-16T14:34:53Z","timestamp":1755354893000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3711896.3737198"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,3]]},"references-count":55,"alternative-id":["10.1145\/3711896.3737198","10.1145\/3711896"],"URL":"https:\/\/doi.org\/10.1145\/3711896.3737198","relation":{},"subject":[],"published":{"date-parts":[[2025,8,3]]},"assertion":[{"value":"2025-08-03","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}