Predicting protein secondary structure by an ensemble through feature-based accuracy estimation

Author:

Krieger Spencer1,Kececioglu John1

Affiliation:

1. University of Arizona, Computer Science, Tucson, Arizona, USA

Funder

National Science Foundation

Publisher

ACM

Reference29 articles.

1. Accurate prediction of solvent accessibility using neural networks-based regression;Adamczak R.;Prot.,2004

2. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs

3. The Protein Data Bank

4. Effect of simple ensemble methods on protein secondary structure prediction

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Combining GCN and Bi-LSTM for Protein Secondary Structure Prediction;2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2021-12-09

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