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Reconstruction of Gene Regulatory Networks by Integrating Biological Model and a Recommendation System

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Research in Computational Molecular Biology (RECOMB 2020)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 12074))

Abstract

Gene Regulatory Networks (GRNs) control many aspects of cellular processes including cell differentiation, maintenance of cell type specific states, signal transduction, and response to stress. Since GRNs provide information that is essential for understanding cell function, the inference of these networks is one of the key challenges in systems biology.

Y. Wang and J. M. Fear—Co-first author.

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Acknowledgement

This research was supported by the Intramural Research Program of the NLM and the National Institute of Diabetes and Digestive and NIDDK, USA, and Precision Health Initiative of Indiana University.

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Correspondence to Yijie Wang , Brian Oliver or Teresa M. Przytycka .

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© 2020 This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply

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Wang, Y., Fear, J.M., Berger, I., Lee, H., Oliver, B., Przytycka, T.M. (2020). Reconstruction of Gene Regulatory Networks by Integrating Biological Model and a Recommendation System. In: Schwartz, R. (eds) Research in Computational Molecular Biology. RECOMB 2020. Lecture Notes in Computer Science(), vol 12074. Springer, Cham. https://doi.org/10.1007/978-3-030-45257-5_36

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  • DOI: https://doi.org/10.1007/978-3-030-45257-5_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-45256-8

  • Online ISBN: 978-3-030-45257-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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