{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T00:06:53Z","timestamp":1755907613035,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":34,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,11,22]],"date-time":"2024-11-22T00:00:00Z","timestamp":1732233600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Natural Science Foundation of China","award":["62433016, 61972320"],"award-info":[{"award-number":["62433016, 61972320"]}]},{"name":"National Key R&D Program of China","award":["2021YFA1000402"],"award-info":[{"award-number":["2021YFA1000402"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,11,22]]},"DOI":"10.1145\/3698587.3701529","type":"proceedings-article","created":{"date-parts":[[2024,12,16]],"date-time":"2024-12-16T10:05:08Z","timestamp":1734343508000},"page":"1-6","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["MCWCM: Multi-Criteria Ranking and Weighted Control Model for Identifying Key Drivers in cancer"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5507-2288","authenticated-orcid":false,"given":"Bolin","family":"Chen","sequence":"first","affiliation":[{"name":"School of Computer Science, Key Laboratory of Big Data Storage and Management, Northwestern, Polytechnical University, Xi'an, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-0778-7469","authenticated-orcid":false,"given":"Zhengyu","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science, Key Laboratory of Big Data Storage and Management, Northwestern, Polytechnical University, Xi'an, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-0032-7755","authenticated-orcid":false,"given":"Ziyuan","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science, Key Laboratory of Big Data Storage and Management, Northwestern, Polytechnical University, Xi'an, China"}]}],"member":"320","published-online":{"date-parts":[[2024,12,16]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Luis A Diaz Jr, and Kenneth W Kinzler","author":"Vogelstein Bert","year":"2013","unstructured":"Bert Vogelstein, Nickolas Papadopoulos, Victor E Velculescu, Shibin Zhou, Luis A Diaz Jr, and Kenneth W Kinzler. 2013. Cancer genome landscapes. science 339, 6127 (2013), 1546--1558."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1038\/nature11017"},{"key":"e_1_3_2_1_3_1","volume-title":"TP53 mutations in breast and ovarian cancer. Cold Spring Harbor perspectives in medicine 7, 1","author":"Silwal-Pandit Laxmi","year":"2017","unstructured":"Laxmi Silwal-Pandit, Anita Langer\u00f8d, and Anne-Lise B\u00f8rresen-Dale. 2017. TP53 mutations in breast and ovarian cancer. Cold Spring Harbor perspectives in medicine 7, 1 (2017), a026252."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"Renumathy Dhanasekaran Aida S Hansen Jangho Park Lea Lemaitre Ian Lai Nia Adeniji Sibu Kuruvilla Akanksha Suresh Josephine Zhang Varsha Swamy et al. 2023. MYC overexpression drives immune evasion in hepatocellular carcinoma that is reversible through restoration of proinflammatory macrophages. Cancer research 83 4 (2023) 626--640.","DOI":"10.1158\/0008-5472.CAN-22-0232"},{"key":"e_1_3_2_1_5_1","unstructured":"Xose S Puente Silvia Be\u00e0 Rafael Vald\u00e9s-Mas Neus Villamor Jes\u00fas Guti\u00e9rrez-Abril Jos\u00e9 I Mart\u00edn-Subero Marta Munar Carlota Rubio-P\u00e9rez Pedro Jares Marta Aymerich et al. 2015. Non-coding recurrent mutations in chronic lymphocytic leukaemia. Nature 526 7574 (2015) 519--524."},{"key":"e_1_3_2_1_6_1","volume-title":"Functional impact bias reveals cancer drivers. Nucleic acids research 40, 21","author":"Gonzalez-Perez Abel","year":"2012","unstructured":"Abel Gonzalez-Perez and Nuria Lopez-Bigas. 2012. Functional impact bias reveals cancer drivers. Nucleic acids research 40, 21 (2012), e169-e169."},{"key":"e_1_3_2_1_7_1","volume-title":"Systematic analysis of somatic mutations in phosphorylation signaling predicts novel cancer drivers. Molecular systems biology 9, 1","author":"Reimand J\u00fcri","year":"2013","unstructured":"J\u00fcri Reimand and Gary D Bader. 2013. Systematic analysis of somatic mutations in phosphorylation signaling predicts novel cancer drivers. Molecular systems biology 9, 1 (2013), 637."},{"key":"e_1_3_2_1_8_1","volume-title":"Personalized characterization of diseases using sample-specific networks. Nucleic acids research 44, 22","author":"Liu Xiaoping","year":"2016","unstructured":"Xiaoping Liu, Yuetong Wang, Hongbin Ji, Kazuyuki Aihara, and Luonan Chen. 2016. Personalized characterization of diseases using sample-specific networks. Nucleic acids research 44, 22 (2016), e164-e164."},{"key":"e_1_3_2_1_9_1","volume-title":"DriverNet: uncovering the impact of somatic driver mutations on transcriptional networks in cancer. Genome biology 13","author":"Bashashati Ali","year":"2012","unstructured":"Ali Bashashati, Gholamreza Haffari, Jiarui Ding, Gavin Ha, Kenneth Lui, Jamie Rosner, David G Huntsman, Carlos Caldas, Samuel A Aparicio, and Sohrab P Shah. 2012. DriverNet: uncovering the impact of somatic driver mutations on transcriptional networks in cancer. Genome biology 13 (2012), 1--14."},{"key":"e_1_3_2_1_10_1","volume-title":"DawnRank: discovering personalized driver genes in cancer. Genome medicine 6","author":"Hou Jack P","year":"2014","unstructured":"Jack P Hou and Jian Ma. 2014. DawnRank: discovering personalized driver genes in cancer. Genome medicine 6 (2014), 1--16."},{"key":"e_1_3_2_1_11_1","unstructured":"Lawrence Page Sergey Brin Rajeev Motwani and Terry Winograd. 1999. The PageRank citation ranking: Bringing order to the web. Technical Report. Stanford infolab."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btab145"},{"key":"e_1_3_2_1_13_1","volume-title":"Control of chaos: Methods and applications in engineering. Annual reviews in control 29, 1","author":"Fradkov Alexander L","year":"2005","unstructured":"Alexander L Fradkov and Robin J Evans. 2005. Control of chaos: Methods and applications in engineering. Annual reviews in control 29, 1 (2005), 33--56."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Linden Parkes Jason Z Kim Jennifer Stiso Julia K Brynildsen Matthew Cieslak Sydney Covitz Raquel E Gur Ruben C Gur Fabio Pasqualetti Russell T Shinohara et al. 2023. Using network control theory to study the dynamics of the structural connectome. bioRxiv (2023).","DOI":"10.1101\/2023.08.23.554519"},{"key":"e_1_3_2_1_15_1","volume-title":"Reverse engineering the brain input: Network control theory to identify cognitive task-related control nodes. arXiv preprint arXiv:2404.16357","author":"Liang Zhichao","year":"2024","unstructured":"Zhichao Liang, Yinuo Zhang, Jushen Wu, and Quanying Liu. 2024. Reverse engineering the brain input: Network control theory to identify cognitive task-related control nodes. arXiv preprint arXiv:2404.16357 (2024)."},{"key":"e_1_3_2_1_16_1","volume-title":"CBNA: a control theory based method for identifying coding and non-coding cancer drivers. PLoS computational biology 15, 12","author":"Pham Vu VH","year":"2019","unstructured":"Vu VH Pham, Lin Liu, Cameron P Bracken, Gregory J Goodall, Qi Long, Jiuyong Li, and Thuc D Le. 2019. CBNA: a control theory based method for identifying coding and non-coding cancer drivers. PLoS computational biology 15, 12 (2019), e1007538."},{"key":"e_1_3_2_1_17_1","volume-title":"Controllability of complex networks. nature 473, 7346","author":"Liu Yang-Yu","year":"2011","unstructured":"Yang-Yu Liu, Jean-Jacques Slotine, and Albert-L\u00e1szl\u00f3 Barab\u00e1si. 2011. Controllability of complex networks. nature 473, 7346 (2011), 167--173."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1137\/0301010"},{"key":"e_1_3_2_1_19_1","volume-title":"A novel network control model for identifying personalized driver genes in cancer. PLoS computational biology 15, 11","author":"Guo Wei-Feng","year":"2019","unstructured":"Wei-Feng Guo, Shao-Wu Zhang, Tao Zeng, Yan Li, Jianxi Gao, and Luonan Chen. 2019. A novel network control model for identifying personalized driver genes in cancer. PLoS computational biology 15, 11 (2019), e1007520."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1038\/s42254-023-00566-3"},{"key":"e_1_3_2_1_21_1","volume-title":"The cancer genome atlas pan-cancer analysis project. Nature genetics 45, 10","author":"Weinstein John N","year":"2013","unstructured":"John N Weinstein, Eric A Collisson, Gordon B Mills, Kenna R Shaw, Brad A Ozenberger, Kyle Ellrott, Ilya Shmulevich, Chris Sander, and Joshua M Stuart. 2013. The cancer genome atlas pan-cancer analysis project. Nature genetics 45, 10 (2013), 1113--1120."},{"key":"e_1_3_2_1_22_1","volume-title":"A census of human cancer genes. Nature reviews cancer 4, 3","author":"Futreal P Andrew","year":"2004","unstructured":"P Andrew Futreal, Lachlan Coin, Mhairi Marshall, Thomas Down, Timothy Hubbard, Richard Wooster, Nazneen Rahman, and Michael R Stratton. 2004. A census of human cancer genes. Nature reviews cancer 4, 3 (2004), 177--183."},{"key":"e_1_3_2_1_23_1","volume-title":"A directed protein interaction network for investigating intracellular signal transduction. Science signaling 4, 189","author":"Vinayagam Arunachalam","year":"2011","unstructured":"Arunachalam Vinayagam, Ulrich Stelzl, Raphaele Foulle, Stephanie Plassmann, Martina Zenkner, Jan Timm, Heike E Assmus, Miguel A Andrade-Navarro, and Erich E Wanker. 2011. A directed protein interaction network for investigating intracellular signal transduction. Science signaling 4, 189 (2011), rs8-rs8."},{"key":"e_1_3_2_1_24_1","volume-title":"STRING: known and predicted protein-protein associations, integrated and transferred across organisms. Nucleic acids research 33, suppl_1","author":"Mering Christian Von","year":"2005","unstructured":"Christian Von Mering, Lars J Jensen, Berend Snel, Sean D Hooper, Markus Krupp, Mathilde Foglierini, Nelly Jouffre, Martijn A Huynen, and Peer Bork. 2005. STRING: known and predicted protein-protein associations, integrated and transferred across organisms. Nucleic acids research 33, suppl_1 (2005), D433-D437."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"crossref","unstructured":"Chih-Hung Chou Nai-Wen Chang Sirjana Shrestha Sheng-Da Hsu Yu-Ling Lin Wei-Hsiang Lee Chi-Dung Yang Hsiao-Chin Hong Ting-Yen Wei Siang-Jyun Tu et al. 2016. miRTarBase 2016:updates to the experimentally validated miRNA-target interactions database. Nucleic acids research 44 D1 (2016) D239-D247.","DOI":"10.1093\/nar\/gkv1258"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"crossref","unstructured":"Ioannis S Vlachos Maria D Paraskevopoulou Dimitra Karagkouni Georgios Georgakilas Thanasis Vergoulis Ilias Kanellos Ioannis-Laertis Anastasopoulos Sofia Maniou Konstantina Karathanou Despina Kalfakakou et al. 2015. DIANA-TarBase v7.0: indexing more than half a million experimentally supported miRNA: mRNA interactions. Nucleic acids research 43 D1 (2015) D153-D159.","DOI":"10.1093\/nar\/gku1215"},{"key":"e_1_3_2_1_27_1","volume-title":"miRWalk2. 0: a comprehensive atlas of microRNA-target interactions. Nature methods 12, 8","author":"Dweep Harsh","year":"2015","unstructured":"Harsh Dweep and Norbert Gretz. 2015. miRWalk2. 0: a comprehensive atlas of microRNA-target interactions. Nature methods 12, 8 (2015), 697--697."},{"key":"e_1_3_2_1_28_1","volume-title":"Predicting effective microRNA target sites in mammalian mRNAs. elife 4","author":"Agarwal Vikram","year":"2015","unstructured":"Vikram Agarwal, George W Bell, Jin-Wu Nam, and David P Bartel. 2015. Predicting effective microRNA target sites in mammalian mRNAs. elife 4 (2015), e05005."},{"key":"e_1_3_2_1_29_1","volume-title":"TransmiR: a transcription factor-microRNA regulation database. Nucleic acids research 38, suppl_1","author":"Wang Juan","year":"2010","unstructured":"Juan Wang, Ming Lu, Chengxiang Qiu, and Qinghua Cui. 2010. TransmiR: a transcription factor-microRNA regulation database. Nucleic acids research 38, suppl_1 (2010), D119-D122."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"crossref","unstructured":"Marina Lizio Jayson Harshbarger Imad Abugessaisa Shuei Noguchi Atsushi Kondo Jessica Severin Chris Mungall David Arenillas Anthony Mathelier Yulia A Medvedeva et al. 2016. Update of the FANTOM web resource: high resolution transcriptome of diverse cell types in mammals. Nucleic acids research (2016) gkw995.","DOI":"10.1093\/nar\/gkw995"},{"key":"e_1_3_2_1_31_1","volume-title":"Associating genes and protein complexes with disease via network propagation. PLoS computational biology 6, 1","author":"Vanunu Oron","year":"2010","unstructured":"Oron Vanunu, Oded Magger, Eytan Ruppin, Tomer Shlomi, and Roded Sharan. 2010. Associating genes and protein complexes with disease via network propagation. PLoS computational biology 6, 1 (2010), e1000641."},{"key":"e_1_3_2_1_32_1","volume-title":"Network-based stratification of tumor mutations. Nature methods 10, 11","author":"Hofree Matan","year":"2013","unstructured":"Matan Hofree, John P Shen, Hannah Carter, Andrew Gross, and Trey Ideker. 2013. Network-based stratification of tumor mutations. Nature methods 10, 11 (2013), 1108--1115."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1088\/1742-5468\/aa6de6"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1617387114"}],"event":{"name":"BCB '24: 15th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics","sponsor":["SIGBio ACM Special Interest Group on Bioinformatics"],"location":"Shenzhen China","acronym":"BCB '24"},"container-title":["Proceedings of the 15th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3698587.3701529","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3698587.3701529","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T11:26:52Z","timestamp":1755862012000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3698587.3701529"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,22]]},"references-count":34,"alternative-id":["10.1145\/3698587.3701529","10.1145\/3698587"],"URL":"https:\/\/doi.org\/10.1145\/3698587.3701529","relation":{},"subject":[],"published":{"date-parts":[[2024,11,22]]},"assertion":[{"value":"2024-12-16","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}