EnANNDeep: An Ensemble-based lncRNA-protein Interaction Prediction Framework with Adaptive k-Nearest Neighbor Classifier and Deep Models

• Lihong Peng,
• Jingwei Tan,
• Xiongfei Tian，
• Liqian Zhou

• Identification of potential lncRNA–protein interactions (LPIs) contributes to understand many important biological processes and progression and metastasis of various complex diseases.

• Under an ensemble learning framework (EnANNDeep) composed of adaptive k-nearest neighbor classifier and deep models including deep neural network and deep forest, this study focuses on systematically finding underlying linkages between lncRNAs and proteins.

• EnANNDeep computes the best average AUCs and AUPRs, indicating its superior LPI prediction ability.

• SNHG10 may have dense linkage with Q15717.