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Investigating the biological relevance in trained embedding representations of protein sequences

Jasper Zuallaert (UGent) , Xiaoyong Pan (UGent) , Yvan Saeys (UGent) , X Wang and Wesley De Neve (UGent)
(2019) p.1-10
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Citation

Please use this url to cite or link to this publication:

MLA
Zuallaert, Jasper et al. “Investigating the Biological Relevance in Trained Embedding Representations of Protein Sequences.” 2019. 1–10. Print.
APA
Zuallaert, J., Pan, X., Saeys, Y., Wang, X., & De Neve, W. (2019). Investigating the biological relevance in trained embedding representations of protein sequences (pp. 1–10). Presented at the Workshop on Computational Biology at the International Conference on Machine Learning.
Chicago author-date
Zuallaert, Jasper, Xiaoyong Pan, Yvan Saeys, X Wang, and Wesley De Neve. 2019. “Investigating the Biological Relevance in Trained Embedding Representations of Protein Sequences.” In , 1–10.
Chicago author-date (all authors)
Zuallaert, Jasper, Xiaoyong Pan, Yvan Saeys, X Wang, and Wesley De Neve. 2019. “Investigating the Biological Relevance in Trained Embedding Representations of Protein Sequences.” In , 1–10.
Vancouver
1.
Zuallaert J, Pan X, Saeys Y, Wang X, De Neve W. Investigating the biological relevance in trained embedding representations of protein sequences. 2019. p. 1–10.
IEEE
[1]
J. Zuallaert, X. Pan, Y. Saeys, X. Wang, and W. De Neve, “Investigating the biological relevance in trained embedding representations of protein sequences,” presented at the Workshop on Computational Biology at the International Conference on Machine Learning, Long Beach, USA, 2019, pp. 1–10.
@inproceedings{8628909,
  author       = {Zuallaert, Jasper and Pan, Xiaoyong and Saeys, Yvan and Wang, X and De Neve, Wesley},
  location     = {Long Beach, USA},
  pages        = {1--10},
  title        = {Investigating the biological relevance in trained embedding representations of protein sequences},
  year         = {2019},
}