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Fig. 1 | BMC Bioinformatics

Fig. 1

From: LPI-HyADBS: a hybrid framework for lncRNA-protein interaction prediction integrating feature selection and classification

Fig. 1

The Pipeline of the LPI-HyADBS framework. (1) Initial feature acquisition. lncRNA and protein features are acquired with Pyfeat [51] and concatenated to depict each lncRNA-protein pair. (2) Feature selection. The concatenated features are reduced based on AdaBoost. (3) LPI classification. DNN, XGBoost, and C-SVM are designed to capture unobserved LPIs, respectively. (4) Ensemble. An ensemble framework is proposed to combine prediction results from the three classifiers

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BMC Bioinformatics

ISSN: 1471-2105

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