PATTERNS IN BIOMEDICAL DATA-HOW DO WE FIND THEM?

被引:0
|
作者
Basile, Anna O. [1 ]
Verma, Anurag [2 ]
Byrska-Bishop, Marta [3 ]
Pendergrass, Sarah A. [4 ]
Darabos, Christian [5 ]
Kirchner, H. Lester [6 ]
机构
[1] Penn State Univ, Dept Biochem & Mol Biol, 328 Innovat Blvd Ste 210, State Coll, PA 16803 USA
[2] Penn State Univ, Huck Inst Life Sci, Geisinger Hlth Syst, 328 Innovat Blvd Ste 210, State Coll, PA 16803 USA
[3] Geisinger Hlth Syst, 328 Innovat Blvd Ste 210, State Coll, PA 16803 USA
[4] 122 Weis Ctr Res, Gcisingcr Hlth Syst Biomed & Translat Informat, Danville, PA 17822 USA
[5] Dartmouth Coll, Res Comp Serv, HB 6129, Hanover, NH 03755 USA
[6] Geisinger Hlth Syst Biomed & Translat Informat, 100 N Acad Ave, Danville, PA 17822 USA
关键词
BIG DATA;
D O I
暂无
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Given the exponential growth of biomedical data, researchers are faced with numerous challenges in extracting and interpreting information from these large, high-dimensional, incomplete, and often noisy data. To facilitate addressing this growing concern, the "Patterns in Biomedical Data-How do we find them?" session of the 2017 Pacific Symposium on Biocomputing (PSB) is devoted to exploring pattern recognition using data-driven approaches for biomedical and precision medicine applications. The papers selected for this session focus on novel machine learning techniques as well as applications of established methods to heterogeneous data. We also feature manuscripts aimed at addressing the current challenges associated with the analysis of biomedical data.
引用
收藏
页码:177 / 183
页数:7
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