IEEE

Predicting Protein Functions Based on Heterogeneous Graph Attention Technique

Abstract: In bioinformatics, protein function prediction stands as a fundamental area of research and plays a crucial role in addressing various biological challenges, such as the identification of ...
IEEE

Robust Adaptive Filtering With the Hyperbolic Tangent Exponential Kernel M-Estimator Function for Active Noise Control

Abstract: In this work, we propose a robust adaptive filtering approach for active noise control applications in the presence of impulsive noise. In particular, we develop the filtered-x hyperbolic ...
GitHub

ProtHGT: Heterogeneous Graph Transformers for Automated Protein Function Prediction Using Knowledge Graphs and Language Models

The rapid accumulation of protein sequence data, coupled with the slow pace of experimental annotations, creates a critical need for computational methods to predict protein functions. Existing models ...
GitHub

Struct2GO:protein function prediction based on Graph pooling algorithm and AlphaFold2 structure information

Struct2GO is a protein function prediction model based on self-attention graph pooling, which utilizes structural information from AlphaFold2 to augment the accuracy and generality of the model's ...