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References from Empirical comparison and recent advances of computational prediction of hormone binding proteins using machine learning methods. Local targets link to admitted publications; unresolved targets remain external evidence.
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Identification of hormone-binding proteins using a novel ensemble classifier
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Identification of hormone binding proteins based on machine learning method
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Computational identification of N4-methylcytosine sites in the mouse genome with machine-learning method
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iHBP-DeepPSSM: identifying hormone binding proteins using PsePSSM based evolutionary features and deep learning approach
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Unresolved reference
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Prediction of hormone-binding proteins based on K-mer feature representation and naive bayes
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Deep-GHBP: improving prediction of Growth Hormone-binding proteins using deep learning model
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