Aditya Pratapa

The paper identifies TP53 activation in alveolar epithelial cells as a driver of cell extrusion and tissue remodeling in IPF through bidirectional lineage plasticity.

This paper presents a single-cell and spatial proteotranscriptomic atlas of human oral tissues, identifying fibroblasts as key immunoregulatory hubs and revealing changes in disease states.

USHER corrects out-of-distribution biases in foundation models by transforming embeddings to a reference space, improving cross-platform integration and downstream tasks.

SAME improves multimodal spatial omics integration by allowing topological disruptions during alignment, enhancing cell-type accuracy and revealing hidden biological insights.

The paper introduces TACIT, an unsupervised algorithm for cell type annotation in spatial biology, showing improved accuracy and scalability across multiple datasets and applications.

This study benchmarks GRN inference algorithms using synthetic and Boolean models, finding moderate accuracy and highlighting challenges in ensemble methods.

The paper develops algorithms to efficiently compute genetic crosses for creating target mutants from source mutants, considering verifiability and permissibility constraints.