[HTML][HTML] MM-StackEns: A new deep multimodal stacked generalization approach for protein–protein interaction prediction
Accurate in-silico identification of protein–protein interactions (PPIs) is a long-standing
problem in biology, with important implications in protein function prediction and drug …
problem in biology, with important implications in protein function prediction and drug …
[HTML][HTML] Protein-protein interaction detection using deep learning: A survey, comparative analysis, and experimental evaluation
K Taha - Computers in Biology and Medicine, 2025 - Elsevier
This survey paper provides a comprehensive analysis of various Deep Learning (DL)
techniques and algorithms for detecting protein-protein interactions (PPIs). It examines the …
techniques and algorithms for detecting protein-protein interactions (PPIs). It examines the …
Employing Machine Learning Techniques to Detect Protein-Protein Interaction: A Survey, Experimental, and Comparative Evaluations
K Taha - bioRxiv, 2023 - biorxiv.org
This survey paper provides an in-depth analysis of various machine learning techniques
and algorithms that are utilized in the detection of PPI (Protein-Protein Interactions). For …
and algorithms that are utilized in the detection of PPI (Protein-Protein Interactions). For …
R2V-PPI: Enhancing Prediction of Protein-Protein Interactions Using Word2Vec Embeddings and Deep Neural Networks
Proteins play a crucial role in living organisms, and understanding protein-protein
interactions is vital for comprehending their functions and aiding drug discovery. In recent …
interactions is vital for comprehending their functions and aiding drug discovery. In recent …
[PDF][PDF] A STUDY OF ADVANCEMENTS IN PROTEIN-PROTEIN INTERACTION PREDICTION
DR LANKA, DRPS PATWAL - ijarst.in
In recent years, the field of protein-protein interaction (PPI) prediction has witnessed
significant advancements, driven by the integration of unsupervised and supervised …
significant advancements, driven by the integration of unsupervised and supervised …