Alireza Khanteymoori

The paper compares SARS-CoV-2 and H1N1 influenza protein-protein interaction networks using topological features to identify essential proteins and assess network properties.

The paper introduces a greedy algorithm for community detection in networks, showing it is competitive with and sometimes outperforms existing methods.

The paper introduces Galaxy-ML, a web-based platform for reproducible and scalable supervised machine learning in biomedicine, extending the Galaxy computational workbench.

This paper introduces a method for haplotype reconstruction using fuzzy c-means clustering with minimum error correction, showing improved performance over existing methods on real datasets.

This paper introduces EnGRNT, an ensemble method for gene regulatory network inference that addresses class imbalance, showing improved performance on simulated Escherichia coli data.

This paper introduces two methods, ProCbA and ProNC-FA, for protein function prediction using PPI networks, showing they outperform existing methods on multiple datasets.

This paper introduces a hypergraph-based method using chaotic viewpoints to improve haplotype assembly, showing better performance on simulated and real datasets.