Anamika Agrawal

Factorizing multiple monotone pseudotimes into one shared donor permutation plus cluster-specific warps (HiP-BIND) yields Alzheimer's donor orderings agreeing better with Braak, ADNC and CERAD staging than single-trajectory B-BIND.

This study uses single-nucleus RNA-seq, ATAC-seq, and Multiome to analyze Alzheimer's disease across multiple brain regions, revealing shared and region-specific cellular vulnerabilities.

scVIP models single-cell transcriptomes to predict phenotypes and infer trajectories in development and disease.

This paper introduces a Bayesian framework to infer continuous disease states from discrete pathological protein measurements in Alzheimer's Disease, using pseudotime to model progression.

The paper maps AD-related pathological changes in the caudate nucleus at cellular resolution, identifying distinct features and cell type-specific responses.

This paper examines the computational limits of neurons with complex dendritic structures, showing that their capacity exceeds simple linear units and varies with morphological architecture.

This study creates an integrated multimodal cell atlas of Alzheimer's disease by analyzing single nuclei transcriptomes, epigenomes, and spatial coordinates across AD stages.