2 citations · 2 across the 4 of their papers we have counts for
4 papers
Improved supervised prediction of aging-related genes via weighted dynamic network analysis
Qi Li, Khalique Newaz, Tijana Milenković
This study focuses on the task of supervised prediction of aging-related genes from -omics data. Unlike gene expression methods for this task that capture aging-specific informatio…
Inference of the Dynamic Aging-related Biological Subnetwork via Network Propagation
Khalique Newaz, Tijana Milenkovic
Gene expression (GE) data capture valuable condition-specific information ("condition" can mean a biological process, disease stage, age, patient, etc.) However, GE analyses ignore…
Network approach integrates 3D structural and sequence data to improve protein structural comparison
Fazle E. Faisal, Julie L. Chaney, Khalique Newaz +4
Initial protein structural comparisons were sequence-based. Since amino acids that are distant in the sequence can be close in the 3-dimensional (3D) structure, 3D contact approach…
Topological network alignment uncovers biological function and phylogeny
Oleksii Kuchaiev, Tijana Milenkovic, Vesna Memisevic +2
Sequence comparison and alignment has had an enormous impact on our understanding of evolution, biology, and disease. Comparison and alignment of biological networks will likely ha…