Deep Learning in Genomic and Medical Image Data Analysis: Challenges and Approaches
Ning Yu, Zeng Yu, Feng Gu, Tianrui Li, Xinmin Tian, Yi Pan, Journal of Information Processing Systems Vol. 13, No. 2, pp. 204-214, Apr. 2017
https://doi.org/10.3745/JIPS.04.0029
Keywords: Bioinformatics, Deep Learning, Deep Neural Networks, DNA Genome Analysis, Image Data Analysis, Machine Learning, lincRNA
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Cite this article
[APA Style]
Yu, N., Yu, Z., Gu, F., Li, T., Tian, X., & Pan, Y. (2017). Deep Learning in Genomic and Medical Image Data Analysis: Challenges and Approaches. Journal of Information Processing Systems, 13(2), 204-214. DOI: 10.3745/JIPS.04.0029.
[IEEE Style]
N. Yu, Z. Yu, F. Gu, T. Li, X. Tian, Y. Pan, "Deep Learning in Genomic and Medical Image Data Analysis: Challenges and Approaches," Journal of Information Processing Systems, vol. 13, no. 2, pp. 204-214, 2017. DOI: 10.3745/JIPS.04.0029.
[ACM Style]
Ning Yu, Zeng Yu, Feng Gu, Tianrui Li, Xinmin Tian, and Yi Pan. 2017. Deep Learning in Genomic and Medical Image Data Analysis: Challenges and Approaches. Journal of Information Processing Systems, 13, 2, (2017), 204-214. DOI: 10.3745/JIPS.04.0029.