The performance of single-cell foundation models is dependent on many factors. This study assesses the effect of the pretraining dataset’s size and diversity, revealing potential challenges in pursuin...

Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world's best researchers, Research Interns learn, collaborate, and network for life. Researc...

Foundation models such as scGPT and Geneformer have not been rigorously evaluated in a setting where they are used without any further training (i.e., zero-shot). Understanding the performance of mode...

Calibrated clustering with artificial variables protects against over-clustering single-cell RNA-seq data by controlling for the impact of reusing the same data twice when performing differential expr...

The lack of computational methods capable of detecting epistasis in biobanks has led to uncertainty about the role of non-additive genetic effects on complex trait variation. The marginal epistasis fr...