Tensor decomposition-based unsupervised feature extraction identifies candidate genes that induce post-traumatic stress disorder-mediated heart diseases-Reference-Cited by-同舟云学术

Tensor decomposition-based unsupervised feature extraction identifies candidate genes that induce post-traumatic stress disorder-mediated heart diseases

Published:2017-12 Issue:S4 Volume:10 Page:
ISSN:1755-8794
Container-title:BMC Medical Genomics
language:en
Short-container-title:BMC Med Genomics

Author:

Taguchi Y.-H.

Publisher

Springer Science and Business Media LLC

Subject

Genetics (clinical),Genetics

Link

http://link.springer.com/content/pdf/10.1186/s12920-017-0302-1.pdf

Reference57 articles.

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3. Deng LX, Khan AM, Drajpuch D, Fuller S, Ludmir J, Mascio CE, Partington SL, Qadeer A, Tobin L, Kovacs AH, Kim YY. Prevalence and Correlates of Post-traumatic Stress Disorder in Adults With Congenital Heart Disease. Am J Cardiol. 2016; 117(5):853–7.

4. Vaccarino V, Goldberg J, Rooks C, Shah AJ, Veledar E, Faber TL, Votaw JR, Forsberg CW, Bremner JD. Post-traumatic stress disorder and incidence of coronary heart disease: a twin study. J Am Coll Cardiol. 2013; 62(11):970–8.

5. Taguchi YH. Principal component analysis based unsupervised feature extraction applied to publicly available gene expression profiles provides new insights into the mechanisms of action of histone deacetylase inhibitors. Neuroepigenetics. 2016; 8:1–18. doi: 10.1016/j.nepig.2016.10.001 .

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