Deep Neural Network and Extreme Gradient Boosting Based Hybrid Classifier for Improved Prediction of Protein-Protein Interaction
Author:
Funder
DST-SERB Government of India
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Genetics,Biotechnology
Link
http://xplorestaging.ieee.org/ielx7/8857/9702518/09361297.pdf?arnumber=9361297
Cited by 27 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. GNNGL-PPI: multi-category prediction of protein-protein interactions using graph neural networks based on global graphs and local subgraphs;BMC Genomics;2024-05-09
2. SEnSCA: Identifying possible ligand‐receptor interactions and its application in cell–cell communication inference;Journal of Cellular and Molecular Medicine;2024-05
3. An Overview and Analysis of Machine Learning Classification Algorithms in Healthcare;Advances in Bioinformatics and Biomedical Engineering;2024-04-05
4. Advances in Computational Methods for Protein–Protein Interaction Prediction;Electronics;2024-03-12
5. Identifying potential ligand–receptor interactions based on gradient boosted neural network and interpretable boosting machine for intercellular communication analysis;Computers in Biology and Medicine;2024-03
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