Machine learning and data mining in complex genomic data—a review on the lessons learned in Genetic Analysis Workshop 19-Reference-Cited by-同舟云学术

Machine learning and data mining in complex genomic data—a review on the lessons learned in Genetic Analysis Workshop 19

Published:2016-02-03 Issue:S2 Volume:17 Page:
ISSN:1471-2156
Container-title:BMC Genetics
language:en
Short-container-title:BMC Genet

Author:

König Inke R.,Auerbach Jonathan,Gola Damian,Held Elizabeth,Holzinger Emily R.,Legault Marc-André,Sun Rui,Tintle Nathan,Yang Hsin-Chou

Publisher

Springer Science and Business Media LLC

Subject

Genetics(clinical),Genetics

Link

http://link.springer.com/content/pdf/10.1186/s12863-015-0315-8.pdf

Reference40 articles.

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3. Witten I, Frank E: Data mining: practical machine learning tools and techniques. 2005, Morgan Kaufmann Publishers, San Francisco

4. Holzinger E, Szymczak S, Malley J, Pugh E, Ling H, Griffith S, Zhang P, Li Q, Cropp C, Bailey-Wilson J: Comparison of parametric and machine methods for variable selection in simulated GAW19 data. BMC Proc. 2015, 9 Suppl 8: S15-

5. Ziegler A, DeStefano AL, König IR, on behalf of Group 6: Data mining, neural nets, trees—problems 2 and 3 of Genetic Analysis Workshop 15. Genet Epidemiol. 2007, 31: S51-S60. 10.1002/gepi.20280.

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