Mustafa Büyüközkan

rox is a statistical model that handles missing values in omics data by treating them as low concentrations, outperforming existing methods on simulated and metabolomics datasets.

SGI identifies clinical subgroups in omics datasets using hierarchical clustering and association testing, demonstrated on a metabolomics dataset from a type 2 diabetes study.

PRER improves survival prediction in 9/10 cancers by integrating protein expression with PPI networks using pairwise relative expression features.

This paper introduces a cutoff selection algorithm for correlation networks that uses prior knowledge to improve network reconstruction, showing better performance than statistical cutoffs across multiple datasets.