integrativecancergenomicsmodelsalgorithmsandanalysis

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	integrativecancergenomicsmodelsalgorithmsandanalysis
	Chen Jinyu; Zhang Shihua
	2017
发表期刊	frontiersofcomputerscience
ISSN	2095-2228
卷号	11 期号:3 页码:392
摘要	In the past decade, the remarkable development of high-throughput sequencing technology accelerates the generation of large amount of multiple dimensional data such as genomic, epigenomic, transcriptomic and proteomic data. The comprehensive data make it possible to understand the underlying mechanisms of biology and disease such as cancer systematically. It also provides great challenges for computational cancer genomics due to the complexity, scale and noise of data. In this article, we aim to review the recent developments and progresses of computational models, algorithms and analysis of complex data in cancer genomics. These topics of this paper include the identification of driver mutations, the genetic heterogeneity analysis, genomic markers discovery of drug response, pan-cancer scale analysis and so on.
语种	英语
资助项目	[National Natural Science Foundation of China] ; [Strategic Priority Research Program of the Chinese Academy of Sciences (CAS)] ; [Outstanding Young Scientist Program of CAS] ; [Key Research Program of Frontier Sciences, CAS] ; [Key Laboratory of Random Complex Structures and Data Science, CAS]
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/43834
专题	应用数学研究所
作者单位	中国科学院数学与系统科学研究院
推荐引用方式 GB/T 7714	Chen Jinyu,Zhang Shihua. integrativecancergenomicsmodelsalgorithmsandanalysis[J]. frontiersofcomputerscience,2017,11(3):392.
APA	Chen Jinyu,&Zhang Shihua.(2017).integrativecancergenomicsmodelsalgorithmsandanalysis.frontiersofcomputerscience,11(3),392.
MLA	Chen Jinyu,et al."integrativecancergenomicsmodelsalgorithmsandanalysis".frontiersofcomputerscience 11.3(2017):392.