C-PUGP: A cluster-based positive unlabeled learning method for disease gene prediction and prioritization. - Akram Vasighizaker; Saeed Jalili (Comput. Biol. Chem., 2018)

Unsupervised Identification of SARS-CoV-2 Target Cell Groups via Nonlinear Dimensionality Reduction on Single-cell RNA-Seq Data. - Saiteja Danda; Akram Vasighizaker; Luis Rueda 001 (BIBM, 2020)

Comparative Analysis of Supervised Cell Type Detection in Single-Cell RNA-seq Data. - Akram Vasighizaker; Sheena Hora; Yash Trivedi; Luis Rueda 001 (IWBBIO (2), 2022)

Identification of Enriched Regions in ChIP-Seq Data via a Linear-Time Multi-Level Thresholding Algorithm. - Musab Naik; Luis Rueda 001; Akram Vasighizaker (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

SEGCECO: Subgraph Embedding of Gene expression matrix for prediction of CEll-cell COmmunication. - Akram Vasighizaker; Sheena Hora; Raymond Zeng; Luis Rueda 001 (Briefings Bioinform., 2024)

Advanced Machine Learning Models for Analyzing single-cell RNA-sequencing Data. - Akram Vasighizaker (2024)