EnANNDeep: An Ensemble-based lncRNA-protein Interaction Prediction Framework with Adaptive k-Nearest Neighbor Classifier and Deep Models ...
figshare, 2023
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Zugriff:
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. ...
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EnANNDeep: An Ensemble-based lncRNA-protein Interaction Prediction Framework with Adaptive k-Nearest Neighbor Classifier and Deep Models ...
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Autor/in / Beteiligte Person: | Comp Life Sci, Interdis Sci |
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Veröffentlichung: | figshare, 2023 |
Medientyp: | Bild |
DOI: | 10.6084/m9.figshare.24572704 |
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