has been cited by the following article(s):
[1]
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PSCP-CNN: Protein Structural Class Prediction using a Convolutional Neural Network
2022 5th International Symposium on Informatics and its Applications (ISIA),
2022
DOI:10.1109/ISIA55826.2022.9993605
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[2]
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PSCP-CNN: Protein Structural Class Prediction using a Convolutional Neural Network
2022 5th International Symposium on Informatics and its Applications (ISIA),
2022
DOI:10.1109/ISIA55826.2022.9993605
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[3]
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A two-stage approach towards protein secondary structure classification
Medical & Biological Engineering & Computing,
2020
DOI:10.1007/s11517-020-02194-w
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[4]
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Predicting structural class for protein sequences of 40% identity based on features of primary and secondary structure using Random Forest algorithm
Computational Biology and Chemistry,
2019
DOI:10.1016/j.compbiolchem.2019.107164
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