{"title":"儿童肉瘤基因-基因相互作用模型的系统生物学方法","authors":"Dong-Ling Tong, C. Lee","doi":"10.1109/BIBE.2018.00074","DOIUrl":null,"url":null,"abstract":"Lymphomas and neuroblastoma are the two commonly diagnosed cancers in childhood. Despite extensive studies in cytogenetic and mutations in childhood cancers, new diagnoses were still reported. This is due to multifactorial characteristic of the diseases and a lack of systematic-level information on genetic interaction and pathways between markers to understand the development and progression of the diseases. This study aims to sought a system biology approach to infer gene regulatory networks for lymphomas and neuroblastoma. Results demonstrated that our approach simplifies complex genetic interactions without losing important biological information of the genes. Candidate markers that infer lymphoma and neuroblastoma and their relevant pathways were identified.","PeriodicalId":127507,"journal":{"name":"2018 IEEE 18th International Conference on Bioinformatics and Bioengineering (BIBE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Systems Biology Approach to Model Gene-Gene Interaction for Childhood Sarcomas\",\"authors\":\"Dong-Ling Tong, C. Lee\",\"doi\":\"10.1109/BIBE.2018.00074\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Lymphomas and neuroblastoma are the two commonly diagnosed cancers in childhood. Despite extensive studies in cytogenetic and mutations in childhood cancers, new diagnoses were still reported. This is due to multifactorial characteristic of the diseases and a lack of systematic-level information on genetic interaction and pathways between markers to understand the development and progression of the diseases. This study aims to sought a system biology approach to infer gene regulatory networks for lymphomas and neuroblastoma. Results demonstrated that our approach simplifies complex genetic interactions without losing important biological information of the genes. Candidate markers that infer lymphoma and neuroblastoma and their relevant pathways were identified.\",\"PeriodicalId\":127507,\"journal\":{\"name\":\"2018 IEEE 18th International Conference on Bioinformatics and Bioengineering (BIBE)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 18th International Conference on Bioinformatics and Bioengineering (BIBE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BIBE.2018.00074\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 18th International Conference on Bioinformatics and Bioengineering (BIBE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIBE.2018.00074","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Systems Biology Approach to Model Gene-Gene Interaction for Childhood Sarcomas
Lymphomas and neuroblastoma are the two commonly diagnosed cancers in childhood. Despite extensive studies in cytogenetic and mutations in childhood cancers, new diagnoses were still reported. This is due to multifactorial characteristic of the diseases and a lack of systematic-level information on genetic interaction and pathways between markers to understand the development and progression of the diseases. This study aims to sought a system biology approach to infer gene regulatory networks for lymphomas and neuroblastoma. Results demonstrated that our approach simplifies complex genetic interactions without losing important biological information of the genes. Candidate markers that infer lymphoma and neuroblastoma and their relevant pathways were identified.