Predicting Protein-Protein Interactions from Matrix-Based Protein Sequence Using Convolution Neural Network and Feature-Selective Rotation Forest
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/s41598-019-46369-4.pdf
Reference49 articles.
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3. You, Z. H., Lei, Y. K., Gui, J., Huang, D. S. & Zhou, X. B. Using manifold embedding for assessing and predicting protein interactions from high-throughput experimental data. Bioinformatics 26, 2744–2751, https://doi.org/10.1093/bioinformatics/btq510 (2010).
4. Gavin, A. C. et al. Functional organization of the yeast proteome by systematic analysis of protein complexes. Nature 415, 141–147, https://doi.org/10.1038/415141a (2002).
5. Ito, T. et al. A comprehensive two-hybrid analysis to explore the yeast protein interactome. Proceedings of the National Academy of Sciences of the United States of America 98, 4569–4574, https://doi.org/10.1073/pnas.061034498 (2001).
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