A new method for enhancer prediction based on deep belief network-Reference-Cited by-同舟云学术

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A new method for enhancer prediction based on deep belief network

Published:2017-10 Issue:S12 Volume:18 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

Bu Hongda,Gan Yanglan,Wang Yang,Zhou Shuigeng,Guan Jihong

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Link

http://link.springer.com/content/pdf/10.1186/s12859-017-1828-0.pdf

Reference28 articles.

1. Erwin GD, Oksenberg N, Truty RM, et al. Integrating diverse datasets improves developmental enhancer prediction. Plos Comput Biol. 2014; 10(6):e1003677.

2. Johnson DS, Mortazavi A, Myers RM, et al. Genome-wide mapping of in vivo protein-DNA interactions. Science. 2007; 316(5830):1497–502.

3. Boyle AP, Davis S, Shulha HP, et al. High-resolution mapping and characterization of open chromatin across the genome. Cell. 2008; 132(2):311–22.

4. Giresi PG, Kim J, McDaniell RM, et al.FAIRE (Formaldehyde-Assisted Isolation of Regulatory Elements) isolates active regulatory elements from human chromatin. Genome Res. 2007; 17(6):877–85.

5. Andersson R, Gebhard C, Miguel-Escalada I, et al. An atlas of active enhancers across human cell types and tissues. Nature. 2014; 507(7493):455–61.

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