From the 1 of 5 linked papers with an AI index.
5 papers
A vision foundation model for single-cell biology via spatial gene cartography
Ridvan Yesiloglu, Sakib Mostafa, James Zou +5
The paper introduces scVision, a vision foundation model that converts single-cell transcriptomic data into images by mapping genes onto a spatial layout, and uses a pretrained vis…
Knowledge Graph Modulated Deep Learning for Limited-Sample Clinical Data Analysis
Yuwei Xue, Sakib Mostafa, James Zou +5
Biological systems are governed by structured molecular interactions, where pathways, regulatory circuits, and functional gene relationships shape cellular behavior and disease pro…
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.…
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…
Transformation of Biological Networks into Images via Semantic Cartography for Visual Interpretation and Scalable Deep Analysis
Sakib Mostafa, Lei Xing, Md. Tauhidul Islam
Complex biological networks are fundamental to biomedical science, capturing interactions among molecules, cells, genes, and tissues. Deciphering these networks is critical for und…