High-dimensional genomic data bias correction and data integration using MANCIE
文献类型：期刊论文
| 作者 | Zang, Chongzhi1,2,3; Wang, Tao4,5; Deng, Ke6; Li, Bo1,2,3,7; Hu, Sheng'en8; Qin, Qian8; Xiao, Tengfei1,2,3,9,10; Zhang, Shihua11 ; Meyer, Clifford A.1,2,3; He, Housheng Hansen1,2,3,9,10,12
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| 刊名 | NATURE COMMUNICATIONS
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| 出版日期 | 2016-04-01 |
| 卷号 | 7页码:8 |
| ISSN号 | 2041-1723 |
| DOI | 10.1038/ncomms11305 |
| 英文摘要 | High-dimensional genomic data analysis is challenging due to noises and biases in high-throughput experiments. We present a computational method matrix analysis and normalization by concordant information enhancement (MANCIE) for bias correction and data integration of distinct genomic profiles on the same samples. MANCIE uses a Bayesian-supported principal component analysis-based approach to adjust the data so as to achieve better consistency between sample-wise distances in the different profiles. MANCIE can improve tissue-specific clustering in ENCODE data, prognostic prediction in Molecular Taxonomy of Breast Cancer International Consortium and The Cancer Genome Atlas data, copy number and expression agreement in Cancer Cell Line Encyclopedia data, and has broad applications in cross-platform, high-dimensional data integration. |
| 资助项目 | US National Institutes of Health (NIH)[U41HG7000] ; US National Institutes of Health (NIH)[1R01GM099409] ; US National Institutes of Health (NIH)[5R01CA172211] ; US National Institutes of Health (NIH)[1R01CA152301] ; National Natural Science Foundation of China (NSFC)[11401338] ; National Natural Science Foundation of China (NSFC)[61422309] ; Leukemia and Lymphoma Society (LLS) |
| WOS研究方向 | Science & Technology - Other Topics |
| 语种 | 英语 |
| WOS记录号 | WOS:000374062000001 |
| 出版者 | NATURE PUBLISHING GROUP |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/22513]  |
| 专题 | 应用数学研究所 |
| 通讯作者 | Xie, Yang; Liu, X. Shirley |
| 作者单位 | 1.Dana Farber Canc Inst, Dept Biostat & Computat Biol, Boston, MA 02215 USA 2.Harvard Univ, TH Chan Sch Publ Hlth, Boston, MA 02215 USA 3.Dana Farber Canc Inst, Ctr Funct Canc Epigenet, Boston, MA 02215 USA 4.Univ Texas SW Med Ctr Dallas, Dept Clin Sci, Quantitat Biomed Res Ctr, Dallas, TX 75390 USA 5.Univ Texas SW Med Ctr Dallas, Ctr Genet Host Def, Dallas, TX 75390 USA 6.Tsinghua Univ, Ctr Stat Sci, Beijing 100084, Peoples R China 7.Harvard Univ, Dept Stat, Cambridge, MA 02138 USA 8.Tongji Univ, Sch Life Sci, Dept Bioinformat, Shanghai 200092, Peoples R China 9.Dana Farber Canc Inst, Dept Med Oncol, Boston, MA 02215 USA 10.Harvard Univ, Sch Med, Boston, MA 02215 USA |
| 推荐引用方式 GB/T 7714 | Zang, Chongzhi,Wang, Tao,Deng, Ke,et al. High-dimensional genomic data bias correction and data integration using MANCIE[J]. NATURE COMMUNICATIONS,2016,7:8. |
| APA | Zang, Chongzhi.,Wang, Tao.,Deng, Ke.,Li, Bo.,Hu, Sheng'en.,...&Liu, X. Shirley.(2016).High-dimensional genomic data bias correction and data integration using MANCIE.NATURE COMMUNICATIONS,7,8. |
| MLA | Zang, Chongzhi,et al."High-dimensional genomic data bias correction and data integration using MANCIE".NATURE COMMUNICATIONS 7(2016):8. |
入库方式： OAI收割
来源：数学与系统科学研究院
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