A Novel Reverse Engineering Approach for Gene Regulatory Networks
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-21127-0_26
Reference24 articles.
1. Alvarez, J.M., Brooks, M.D., Swift, J., Coruzzi, G.M.: Time-based systems biology approaches to capture and model dynamic gene regulatory networks. Ann. Rev. Plant Biol. 72(1) (2021). https://par.nsf.gov/biblio/10231631
2. Aster, R.C., Borchers, B., Thurber, C.H.: Parameter Estimation and Inverse Problems. Elsevier (2018)
3. Avci, O., Abdeljaber, O., Kiranyaz, S., Hussein, M., Gabbouj, M., Inman, D.J.: A review of vibration-based damage detection in civil structures: from traditional methods to machine learning and deep learning applications. Mech. Syst. Sign. Process. 147, 107077 (2021). https://www.sciencedirect.com/science/article/pii/S0888327020304635
4. Bai, Y., Chen, W., Chen, J., Guo, W.: Deep learning methods for solving linear inverse problems: Research directions and paradigms. Sign. Process. 177, 107729 (2020). https://www.sciencedirect.com/science/article/pii/S0165168420302723
5. Chikofsky, E., Cross, J.: Reverse engineering and design recovery: a taxonomy. IEEE Softw. 7(1), 13–17 (1990)
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