Abdullah Karaaslanli

STDrug improves drug repurposing by integrating spatial transcriptomics with machine learning to prioritize patient-specific therapies.

The paper proposes a multiview graph learning method to reconstruct gene regulatory networks from single-cell RNA sequencing data, showing improved performance on synthetic and real datasets.

scSGL infers gene regulatory networks from single-cell RNA sequencing data by learning signed graphs that capture both activating and inhibitory gene relationships, while handling cell-cycle heterogeneity and dropouts.