HFCAS OpenIR  > 中科院合肥智能机械研究所
CancerSubtypes: an R/Bioconductor package for molecular cancer subtype identification, validation and visualization
Xu, Taosheng1; Thuc Duy Le2,3; Liu, Lin2; Su, Ning1; Wang, Rujing1; Sun, Bingyu1; Colaprico, Antonio4,5; Bontempi, Gianluca4,5; Li, Jiuyong2
2017-10-01
发表期刊BIOINFORMATICS
卷号33期号:19页码:3131-3133
摘要Identifying molecular cancer subtypes from multi-omics data is an important step in the personalized medicine. We introduce CancerSubtypes, an R package for identifying cancer subtypes using multi-omics data, including gene expression, miRNA expression and DNA methylation data. CancerSubtypes integrates four main computational methods which are highly cited for cancer subtype identification and provides a standardized framework for data pre-processing, feature selection, and result follow-up analyses, including results computing, biology validation and visualization. The input and output of each step in the framework are packaged in the same data format, making it convenience to compare different methods. The package is useful for inferring cancer subtypes from an input genomic dataset, comparing the predictions from different well-known methods and testing new subtype discovery methods, as shown with different application scenarios in the Supplementary Material.
文章类型Article
WOS标题词Science & Technology ; Life Sciences & Biomedicine ; Technology ; Physical Sciences
资助者Australian Research Council(DP140103617) ; Australian Research Council(DP140103617) ; NHMRC(1123042) ; NHMRC(1123042) ; National Natural Science Foundation of China(31371340) ; National Natural Science Foundation of China(31371340) ; BridgeIRIS project - INNOVIRIS, Region de Bruxelles Capitale, Brussels, Belgium ; BridgeIRIS project - INNOVIRIS, Region de Bruxelles Capitale, Brussels, Belgium ; GENomic profiling of Gastrointestinal Inflammatory-Sensitive CANcers (GENGISCAN), Belgian FNRS PDR(T100914F) ; GENomic profiling of Gastrointestinal Inflammatory-Sensitive CANcers (GENGISCAN), Belgian FNRS PDR(T100914F) ; Australian Research Council(DP140103617) ; Australian Research Council(DP140103617) ; NHMRC(1123042) ; NHMRC(1123042) ; National Natural Science Foundation of China(31371340) ; National Natural Science Foundation of China(31371340) ; BridgeIRIS project - INNOVIRIS, Region de Bruxelles Capitale, Brussels, Belgium ; BridgeIRIS project - INNOVIRIS, Region de Bruxelles Capitale, Brussels, Belgium ; GENomic profiling of Gastrointestinal Inflammatory-Sensitive CANcers (GENGISCAN), Belgian FNRS PDR(T100914F) ; GENomic profiling of Gastrointestinal Inflammatory-Sensitive CANcers (GENGISCAN), Belgian FNRS PDR(T100914F)
DOI10.1093/bioinformatics/btx378
关键词[WOS]DISCOVERY
收录类别SCI
语种英语
资助者Australian Research Council(DP140103617) ; Australian Research Council(DP140103617) ; NHMRC(1123042) ; NHMRC(1123042) ; National Natural Science Foundation of China(31371340) ; National Natural Science Foundation of China(31371340) ; BridgeIRIS project - INNOVIRIS, Region de Bruxelles Capitale, Brussels, Belgium ; BridgeIRIS project - INNOVIRIS, Region de Bruxelles Capitale, Brussels, Belgium ; GENomic profiling of Gastrointestinal Inflammatory-Sensitive CANcers (GENGISCAN), Belgian FNRS PDR(T100914F) ; GENomic profiling of Gastrointestinal Inflammatory-Sensitive CANcers (GENGISCAN), Belgian FNRS PDR(T100914F) ; Australian Research Council(DP140103617) ; Australian Research Council(DP140103617) ; NHMRC(1123042) ; NHMRC(1123042) ; National Natural Science Foundation of China(31371340) ; National Natural Science Foundation of China(31371340) ; BridgeIRIS project - INNOVIRIS, Region de Bruxelles Capitale, Brussels, Belgium ; BridgeIRIS project - INNOVIRIS, Region de Bruxelles Capitale, Brussels, Belgium ; GENomic profiling of Gastrointestinal Inflammatory-Sensitive CANcers (GENGISCAN), Belgian FNRS PDR(T100914F) ; GENomic profiling of Gastrointestinal Inflammatory-Sensitive CANcers (GENGISCAN), Belgian FNRS PDR(T100914F)
WOS研究方向Biochemistry & Molecular Biology ; Biotechnology & Applied Microbiology ; Computer Science ; Mathematical & Computational Biology ; Mathematics
WOS类目Biochemical Research Methods ; Biotechnology & Applied Microbiology ; Computer Science, Interdisciplinary Applications ; Mathematical & Computational Biology ; Statistics & Probability
WOS记录号WOS:000411514100032
引用统计
被引频次:12[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.hfcas.ac.cn:8080/handle/334002/33721
专题中科院合肥智能机械研究所
作者单位1.Chinese Acad Sci, Hefei Inst Phys Sci, Inst Intelligent Machines, Hefei 230031, Anhui, Peoples R China
2.Univ South Australia, Sch Informat Technol & Math Sci, Adelaide, SA 5095, Australia
3.Univ South Australia, Ctr Canc Biol, Adelaide, SA 5000, Australia
4.ULB, Interuniv Inst Bioinformat Brussels IB2, B-1050 Brussels, Belgium
5.ULB, MLG, Dept Informat, B-1050 Brussels, Belgium
推荐引用方式
GB/T 7714
Xu, Taosheng,Thuc Duy Le,Liu, Lin,et al. CancerSubtypes: an R/Bioconductor package for molecular cancer subtype identification, validation and visualization[J]. BIOINFORMATICS,2017,33(19):3131-3133.
APA Xu, Taosheng.,Thuc Duy Le.,Liu, Lin.,Su, Ning.,Wang, Rujing.,...&Li, Jiuyong.(2017).CancerSubtypes: an R/Bioconductor package for molecular cancer subtype identification, validation and visualization.BIOINFORMATICS,33(19),3131-3133.
MLA Xu, Taosheng,et al."CancerSubtypes: an R/Bioconductor package for molecular cancer subtype identification, validation and visualization".BIOINFORMATICS 33.19(2017):3131-3133.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Xu, Taosheng]的文章
[Thuc Duy Le]的文章
[Liu, Lin]的文章
百度学术
百度学术中相似的文章
[Xu, Taosheng]的文章
[Thuc Duy Le]的文章
[Liu, Lin]的文章
必应学术
必应学术中相似的文章
[Xu, Taosheng]的文章
[Thuc Duy Le]的文章
[Liu, Lin]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。