3 papers
q-bio.QM2026
A vision foundation model for single-cell biology via spatial gene cartography
Ridvan Yesiloglu, Sakib Mostafa, James Zou +5
Most single-cell foundation models are adapted from language models, representing each cell as a sequence of gene tokens. This discards the relationships among genes and often the…
cs.LG2026
Toward a universal foundation model for graph-structured data
Sakib Mostafa, Lei Xing, Md. Tauhidul Islam
Graphs are a central representation in biomedical research, capturing molecular interaction networks, gene regulatory circuits, cell--cell communication maps, and knowledge graphs.…
cs.LG2026
Vision-based Deep Learning Analysis of Unordered Biomedical Tabular Datasets via Optimal Spatial Cartography
Sakib Mostafa, Tarik Massoud, Maximilian Diehn +2
Tabular data are central to biomedical research, from liquid biopsy and bulk and single-cell transcriptomics to electronic health records and phenotypic profiling. Unlike images or…