This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.

The integration of bioinformatics and medical imaging, often referred to as radiogenomics, has emerged as a powerful and transformative approach in cancer ...

Biological systems are inherently three-dimensional—tissues form intricate layers, networks, and architectures where cells interact in ways that extend far beyond a flat plane. To capture the true ...

The Bioinformatics and Biostatistics Core is a collaborative center that provides investigators with bioinformatics expertise to analyze large molecular datasets and develop novel algorithms. We have ...

Several prominent foundation models are employed to enhance our understanding of high-throughput biological data, followed by a discussion on the application of prediction and generation models across ...

Rare cancers encompass a heterogeneous group of malignancies characterized by low incidence and prevalence but, often, disproportionately high mortality ...