儿童肉瘤基因-基因相互作用模型的系统生物学方法

Dong-Ling Tong, C. Lee
{"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":null,"pages":null},"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\":null,\"pages\":null},\"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}
引用次数: 0

摘要

淋巴瘤和神经母细胞瘤是儿童时期常见的两种癌症。尽管对儿童癌症的细胞遗传学和突变进行了广泛的研究,但仍有新的诊断报告。这是由于疾病的多因素特征和缺乏系统水平的遗传相互作用信息和标志物之间的途径,以了解疾病的发生和进展。本研究旨在寻求一种系统生物学方法来推断淋巴瘤和神经母细胞瘤的基因调控网络。结果表明,我们的方法简化了复杂的遗传相互作用,而不丢失基因的重要生物信息。确定了推断淋巴瘤和神经母细胞瘤及其相关途径的候选标记物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信